Comput Methods Programs Biomed - Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set.

Tópicos

{ featur(3375) classif(2383) classifi(1994) }
{ model(2341) predict(2261) use(1141) }
{ cancer(2502) breast(956) screen(824) }
{ network(2748) neural(1063) input(814) }
{ control(1307) perform(991) simul(935) }
{ featur(1941) imag(1645) propos(1176) }
{ use(1733) differ(960) four(931) }
{ model(3404) distribut(989) bayesian(671) }
{ data(1737) use(1416) pattern(1282) }
{ imag(2675) segment(2577) method(1081) }
{ general(901) number(790) one(736) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ visual(1396) interact(850) tool(830) }
{ decis(3086) make(1611) patient(1517) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(984) reconstruct(947) comput(926) }
{ studi(1119) effect(1106) posit(819) }
{ model(3480) simul(1196) paramet(876) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ system(1976) rule(880) can(841) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ imag(2830) propos(1344) filter(1198) }
{ patient(2315) diseas(1263) diabet(1191) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

Lung cancer is one of the most common forms of cancer resulting in over a million deaths per year worldwide. In this paper, the usage of support vector machine (SVM) classification for lung cancer is investigated, presenting a systematic quantitative evaluation against Boosting, Decision trees, k-nearest neighbor, LASSO regressions, neural networks and random forests. A large database of 5984 regions of interest (ROIs) and 488 input features (including textural features, patient characteristics, and morphological features) were used to train the classifiers and evaluate for their performance. The evaluation for classifiers' performance was based on a tenfold cross validation framework, receiver operating characteristic curve (ROC), and Matthews correlation coefficient. Area under curve (AUC) of SVM, Boosting, Decision trees, k-nearest neighbor, LASSO, neural networks, random forests were 0.94, 0.86, 0.73, 0.72, 0.91, 0.92, and 0.85, respectively. It was proved that SVM classification offered significantly increased classification performance compared to the reference methods. This scheme may be used as an auxiliary tool to differentiate between benign and malignant SPNs of CT images in future.

Resumo Limpo

lung cancer one common form cancer result million death per year worldwid paper usag support vector machin svm classif lung cancer investig present systemat quantit evalu boost decis tree knearest neighbor lasso regress neural network random forest larg databas region interest roi input featur includ textur featur patient characterist morpholog featur use train classifi evalu perform evalu classifi perform base tenfold cross valid framework receiv oper characterist curv roc matthew correl coeffici area curv auc svm boost decis tree knearest neighbor lasso neural network random forest respect prove svm classif offer signific increas classif perform compar refer method scheme may use auxiliari tool differenti benign malign spns ct imag futur

Resumos Similares

J Med Syst - An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method. ( 0,841048815326601 )
J Med Syst - Diagnosing breast masses in digital mammography using feature selection and ensemble methods. ( 0,827376132711131 )
J Med Syst - Usage of case-based reasoning, neural network and adaptive neuro-fuzzy inference system classification techniques in breast cancer dataset classification diagnosis. ( 0,816983506932179 )
IEEE J Biomed Health Inform - Computer-aided staging of lymphoma patients with FDG PET/CT imaging based on textural information. ( 0,812865075595247 )
BMC Med Inform Decis Mak - Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. ( 0,805930904351261 )
J Am Med Inform Assoc - A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. ( 0,805818909859192 )
J Med Syst - An integrated index for the identification of diabetic retinopathy stages using texture parameters. ( 0,803093827609157 )
Comput Methods Programs Biomed - ThyroScreen system: high resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform. ( 0,802751071659637 )
IEEE J Biomed Health Inform - Classification of color images of dermatological ulcers. ( 0,792346962325125 )
Comput Methods Programs Biomed - Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines. ( 0,791201511873752 )
J Med Syst - Statistical analysis of textural features for improved classification of oral histopathological images. ( 0,788936845825527 )
Int J Comput Assist Radiol Surg - Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images. ( 0,786049814253604 )
Comput Methods Programs Biomed - Computer aided detection system for micro calcifications in digital mammograms. ( 0,781561503804435 )
Comput. Biol. Med. - A new feature extraction framework based on wavelets for breast cancer diagnosis. ( 0,770195380615607 )
IEEE J Biomed Health Inform - Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimization. ( 0,767911958298915 )
Comput Methods Programs Biomed - Automatic cervical cell segmentation and classification in Pap smears. ( 0,766164035886091 )
J Med Syst - SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. ( 0,760005391657615 )
IEEE J Biomed Health Inform - Novel fractal feature-based multiclass glaucoma detection and progression prediction. ( 0,755834221357594 )
Comput. Biol. Med. - Breast-cancer identification using HMM-fuzzy approach. ( 0,752362165074845 )
Comput Biol Chem - Derivation of an artificial gene to improve classification accuracy upon gene selection. ( 0,748928488323777 )
Comput Methods Programs Biomed - An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. ( 0,74876654052135 )
Comput. Biol. Med. - A novel class dependent feature selection method for cancer biomarker discovery. ( 0,746456881991624 )
Artif Intell Med - Selective voting in convex-hull ensembles improves classification accuracy. ( 0,743096234698775 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,741088401069066 )
Methods Inf Med - An experimental evaluation of boosting methods for classification. ( 0,739887597699989 )
J Am Med Inform Assoc - Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. ( 0,730560400264498 )
Int J Comput Assist Radiol Surg - Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. ( 0,727573277763509 )
J Med Syst - A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. ( 0,72710988564437 )
J Med Syst - A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases. ( 0,72592178626512 )
Int J Comput Assist Radiol Surg - Building an ensemble system for diagnosing masses in mammograms. ( 0,724643692235018 )
Artif Intell Med - Comparative analysis of a-priori and a-posteriori dietary patterns using state-of-the-art classification algorithms: a case/case-control study. ( 0,724601375856437 )
Comput Methods Programs Biomed - Computer-aided diagnosis of mass-like lesion in breast MRI: differential analysis of the 3-D morphology between benign and malignant tumors. ( 0,72360590721499 )
Artif Intell Med - Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. ( 0,722181390544565 )
Comput. Biol. Med. - Pairwise FCM based feature weighting for improved classification of vertebral column disorders. ( 0,719967453698463 )
Comput Biol Chem - CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. ( 0,719870120391905 )
Comput Math Methods Med - Comparison of different EHG feature selection methods for the detection of preterm labor. ( 0,717190214176039 )
J Med Syst - Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. ( 0,716028411523357 )
Comput Methods Programs Biomed - A new hybrid intelligent system for accurate detection of Parkinson's disease. ( 0,714196798799554 )
Comput. Biol. Med. - An ensemble system for automatic sleep stage classification using single channel EEG signal. ( 0,712533153483317 )
Int J Neural Syst - Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis. ( 0,71171348735518 )
Comput Math Methods Med - SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds. ( 0,711653185199467 )
J Med Syst - A new method based for diagnosis of breast cancer cells from microscopic images: DWEE--JHT. ( 0,710556045983227 )
J Med Syst - Enhanced cancer recognition system based on random forests feature elimination algorithm. ( 0,70804569529163 )
Int J Comput Assist Radiol Surg - Image feature evaluation in two new mammography CAD prototypes. ( 0,707863404432586 )
J Med Syst - Similarity-dissimilarity plot for visualization of high dimensional data in biomedical pattern classification. ( 0,706140839812 )
Comput Methods Programs Biomed - A random forest classifier for lymph diseases. ( 0,706052573945818 )
J Biomed Inform - A fast gene selection method for multi-cancer classification using multiple support vector data description. ( 0,704056567140698 )
Comput Methods Programs Biomed - Computer-aided diagnosis of breast masses using quantified BI-RADS findings. ( 0,704035300361253 )
J Biomed Inform - Automatic figure classification in bioscience literature. ( 0,703815593113456 )
Artif Intell Med - A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment. ( 0,702529424345271 )
IEEE J Biomed Health Inform - Computer-aided diagnosis in hysteroscopic imaging. ( 0,701043663166188 )
AMIA Annu Symp Proc - Application of Bayesian logistic regression to mining biomedical data. ( 0,700892269932357 )
Comput Methods Programs Biomed - Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. ( 0,700642353621004 )
Comput. Biol. Med. - Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. ( 0,700254596993743 )
Comput. Biol. Med. - Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines. ( 0,699737037210453 )
J Digit Imaging - Computer-aided detection of architectural distortion in prior mammograms of interval cancer. ( 0,695884171000765 )
Artif Intell Med - Improving the accuracy of suicide attempter classification. ( 0,693199387457638 )
Comput Methods Programs Biomed - Computer-supported diagnosis for endotension cases in endovascular aortic aneurysm repair evolution. ( 0,690857264955288 )
Comput. Biol. Med. - Keratin protein property based classification of mammals and non-mammals using machine learning techniques. ( 0,690168422622917 )
Comput Math Methods Med - Determination of fetal state from cardiotocogram using LS-SVM with particle swarm optimization and binary decision tree. ( 0,689999995069869 )
Med Biol Eng Comput - Decision support system for age-related macular degeneration using discrete wavelet transform. ( 0,689514985880576 )
IEEE Trans Image Process - Maximum Margin Correlation Filter: a new approach for localization and classification. ( 0,689236993615756 )
Comput. Biol. Med. - Contourlet-based mammography mass classification using the SVM family. ( 0,689189854302146 )
Artif Intell Med - Texture feature ranking with relevance learning to classify interstitial lung disease patterns. ( 0,689018918947671 )
IEEE Trans Image Process - A novel technique for subpixel image classification based on support vector machine. ( 0,688905769008716 )
Comput Biol Chem - Information-theoretic approaches to SVM feature selection for metagenome read classification. ( 0,688648319287396 )
Artif Intell Med - Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples. ( 0,688508005770418 )
J Med Syst - A new expert system for diagnosis of lung cancer: GDA-LS_SVM. ( 0,688140645597941 )
J Biomed Inform - A biological continuum based approach for efficient clinical classification. ( 0,687705048841244 )
Artif Intell Med - Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. ( 0,686861550176212 )
Comput. Biol. Med. - Gene expression microarray classification using PCA-BEL. ( 0,685837882798515 )
Comput. Biol. Med. - Ensemble selection for feature-based classification of diabetic maculopathy images. ( 0,685658826563647 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,683746374658017 )
Comput Math Methods Med - Comparison of the data classification approaches to diagnose spinal cord injury. ( 0,683343571077806 )
Neural Comput - An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network. ( 0,683148344293188 )
Int J Neural Syst - Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. ( 0,682400006370389 )
Comput Methods Programs Biomed - Performance comparison of machine learning methods for prognosis of hormone receptor status in breast cancer tissue samples. ( 0,682066490333141 )
J Med Syst - Symptomatic vs. asymptomatic plaque classification in carotid ultrasound. ( 0,681244247561713 )
Comput Methods Programs Biomed - Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network. ( 0,679966144865544 )
J Med Syst - Comparison of statistical, LBP, and multi-resolution analysis features for breast mass classification. ( 0,677537106649965 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,675946971122603 )
J Med Syst - Automated diagnosis of Alzheimer disease using the scale-invariant feature transforms in magnetic resonance images. ( 0,6750600005243 )
Comput Math Methods Med - An expert system based on Fisher score and LS-SVM for cardiac arrhythmia diagnosis. ( 0,674724729428436 )
J Med Syst - A medical decision support system based on support vector machines and the genetic algorithm for the evaluation of fetal well-being. ( 0,67372080152556 )
J Med Syst - Classification of normal and diseased liver shapes based on Spherical Harmonics coefficients. ( 0,67318686563087 )
Comput Biol Chem - A novel divide-and-merge classification for high dimensional datasets. ( 0,67263237092329 )
J Med Syst - Diagnosis of diabetes diseases using an Artificial Immune Recognition System2 (AIRS2) with fuzzy K-nearest neighbor. ( 0,672314545441473 )
Artif Intell Med - Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. ( 0,671200492055167 )
J Med Syst - Detection of carotid artery disease by using Learning Vector Quantization Neural Network. ( 0,668376287161934 )
Int J Neural Syst - Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy. ( 0,668250745952018 )
J Med Syst - An expert support system for breast cancer diagnosis using color wavelet features. ( 0,668057180423772 )
Med Biol Eng Comput - CFS-SMO based classification of breast density using multiple texture models. ( 0,667627047289802 )
Comput. Biol. Med. - SVM-based feature selection to optimize sensitivity-specificity balance applied to weaning. ( 0,667277803157038 )
Artif Intell Med - An intelligent classifier for prognosis of cardiac resynchronization therapy based on speckle-tracking echocardiograms. ( 0,665619444546973 )
Comput. Biol. Med. - Heartbeat classification using disease-specific feature selection. ( 0,663936040347875 )
Comput Math Methods Med - Principal feature analysis: a multivariate feature selection method for fMRI data. ( 0,663875314242891 )
Comput Math Methods Med - Multivoxel pattern analysis for FMRI data: a review. ( 0,663355658758595 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,661415476773128 )
Comput. Biol. Med. - Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. ( 0,659903746688765 )
J Med Syst - Design ensemble machine learning model for breast cancer diagnosis. ( 0,659417391935375 )