Comput Math Methods Med - A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO.

Tópicos

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

Resumo

A novel multi-instance learning (MIL) method is proposed to recognize liver cancer with abdominal CT images based on instance optimization (IO) and support vector machine with parameters optimized by a combination algorithm of particle swarm optimization and local optimization (CPSO-SVM). Introducing MIL into liver cancer recognition can solve the problem of multiple regions of interest classification. The images we use in the experiments are liver CT images extracted from abdominal CT images. The proposed method consists of two main steps: (1) obtaining the key instances through IO by texture features and a classification threshold in classification of instances with CPSO-SVM and (2) predicting unknown samples with the key instances and the classification threshold. By extracting the instances equally based on the entire image, the proposed method can ignore the procedure of tumor region segmentation and lower the demand of segmentation accuracy of liver region. The normal SVM method and two MIL algorithms, Citation-kNN algorithm and WEMISVM algorithm, have been chosen as comparing algorithms. The experimental results show that the proposed method can effectively recognize liver cancer images from two kinds of cancer CT images and greatly improve the recognition accuracy.

Resumo Limpo

novel multiinst learn mil method propos recogn liver cancer abdomin ct imag base instanc optim io support vector machin paramet optim combin algorithm particl swarm optim local optim cpsosvm introduc mil liver cancer recognit can solv problem multipl region interest classif imag use experi liver ct imag extract abdomin ct imag propos method consist two main step obtain key instanc io textur featur classif threshold classif instanc cpsosvm predict unknown sampl key instanc classif threshold extract instanc equal base entir imag propos method can ignor procedur tumor region segment lower demand segment accuraci liver region normal svm method two mil algorithm citationknn algorithm wemisvm algorithm chosen compar algorithm experiment result show propos method can effect recogn liver cancer imag two kind cancer ct imag great improv recognit accuraci

Resumos Similares

IEEE Trans Image Process - Structured max-margin learning for inter-related classifier training and multilabel image annotation. ( 0,815928856051696 )
IEEE Trans Pattern Anal Mach Intell - Trainable Convolution Filters and Their Application to Face Recognition. ( 0,797958625440216 )
IEEE Trans Image Process - Robust face recognition with structurally incoherent low-rank matrix decomposition. ( 0,788817033298239 )
IEEE Trans Image Process - Local energy pattern for texture classification using self-adaptive quantization thresholds. ( 0,788320289554245 )
IEEE Trans Image Process - Receptive fields selection for binary feature description. ( 0,787828470619399 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection and Kernel Learning for Local Learning-Based Clustering. ( 0,783824278569258 )
Artif Intell Med - Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. ( 0,777897234253402 )
IEEE Trans Image Process - Stable orthogonal local discriminant embedding for linear dimensionality reduction. ( 0,777715888301679 )
IEEE Trans Image Process - Color texture classification using shortest paths in graphs. ( 0,776397591016281 )
IEEE Trans Image Process - Cooperative sparse representation in two opposite directions for semi-supervised image annotation. ( 0,772381015760144 )
IEEE Trans Image Process - Large-margin Learning of Compact Binary Image Encodings. ( 0,769979263062634 )
Artif Intell Med - Local binary patterns variants as texture descriptors for medical image analysis. ( 0,768531597908328 )
IEEE Trans Image Process - From local pixel structure to global image super-resolution: a new face hallucination framework. ( 0,760410676002197 )
IEEE Trans Image Process - Task-specific image partitioning. ( 0,757601842949018 )
IEEE Trans Pattern Anal Mach Intell - Learning Discriminant Face Descriptor. ( 0,753897449546115 )
Comput Methods Programs Biomed - Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability. ( 0,751139503360892 )
IEEE Trans Image Process - Sparse representation with kernels. ( 0,750130547568202 )
IEEE Trans Image Process - Human gait recognition using patch distribution feature and locality-constrained group sparse representation. ( 0,748567664586334 )
J Med Syst - Comparison of several texture features for tumor detection in CE images. ( 0,746286622756075 )
IEEE Trans Pattern Anal Mach Intell - LDAHash: Improved Matching with Smaller Descriptors. ( 0,743956653086507 )
Int J Comput Assist Radiol Surg - An evaluation of image descriptors combined with clinical data for breast cancer diagnosis. ( 0,743290647587935 )
Med Biol Eng Comput - Object-shape recognition and 3D reconstruction from tactile sensor images. ( 0,741954682294626 )
Comput. Biol. Med. - Texture feature extraction based on a uniformity estimation method for local brightness and structure in chest CT images. ( 0,737043146358304 )
IEEE Trans Image Process - Extracting multiple features in the CID color space for face recognition. ( 0,736708930619104 )
IEEE Trans Image Process - Semisupervised multiview distance metric learning for cartoon synthesis. ( 0,731993850137753 )
IEEE Trans Pattern Anal Mach Intell - Iris Matching Based on Personalized Weight Map. ( 0,728878606266124 )
IEEE Trans Image Process - Robust face representation using hybrid spatial feature interdependence matrix. ( 0,72443084414493 )
IEEE Trans Image Process - A probabilistic approach for color correction in image mosaicking applications. ( 0,721482238113132 )
IEEE Trans Image Process - A novel local pattern descriptor--local vector pattern in high-order derivative space for face recognition. ( 0,720511482272398 )
IEEE Trans Image Process - Image classification via object-aware holistic superpixel selection. ( 0,720100206536299 )
IEEE Trans Image Process - Object detection with DoG scale-space: a multiple kernel learning approach. ( 0,718534443050125 )
Artif Intell Med - Visual pattern mining in histology image collections using bag of features. ( 0,717543717252682 )
IEEE Trans Image Process - Subspace-based discrete transform encoded local binary patterns representations for robust periocular matching on NIST's face recognition grand challenge. ( 0,717289690269685 )
IEEE Trans Pattern Anal Mach Intell - What Makes a Photograph Memorable? ( 0,715929561910563 )
IEEE Trans Image Process - HSOG: a novel local image descriptor based on histograms of the second-order gradients. ( 0,715081294276371 )
IEEE Trans Pattern Anal Mach Intell - Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. ( 0,71500977056154 )
IEEE Trans Pattern Anal Mach Intell - Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking. ( 0,712734656028335 )
IEEE Trans Image Process - Very low resolution face recognition problem. ( 0,712469129966032 )
IEEE Trans Image Process - Coupled binary embedding for large-scale image retrieval. ( 0,711985991299509 )
IEEE Trans Image Process - Discovering discriminative graphlets for aerial image categories recognition. ( 0,711288154560822 )
IEEE Trans Image Process - Face recognition by exploring information jointly in space, scale and orientation. ( 0,710488257198592 )
IEEE Trans Image Process - Two-dimensional maximum local variation based on image euclidean distance for face recognition. ( 0,709559219048721 )
IEEE Trans Image Process - Discriminant learning through multiple principal angles for visual recognition. ( 0,707642083377157 )
IEEE Trans Image Process - Ordinal feature selection for iris and palmprint recognition. ( 0,707535398476299 )
IEEE Trans Image Process - Color local texture features for color face recognition. ( 0,707058529923398 )
IEEE Trans Image Process - Scale- and rotation-invariant local binary pattern using scale-adaptive texton and subuniform-based circular shift. ( 0,706296904695542 )
IEEE Trans Pattern Anal Mach Intell - Jointly Learning Visually Correlated Dictionaries for Large-scale Visual Recognition Applications. ( 0,703713706307414 )
IEEE Trans Image Process - Blur and illumination robust face recognition via set-theoretic characterization. ( 0,703363706139592 )
IEEE Trans Image Process - Real-time probabilistic covariance tracking with efficient model update. ( 0,702293900319266 )
IEEE Trans Image Process - Conjunctive patches subspace learning with side information for collaborative image retrieval. ( 0,701486331556847 )
IEEE Trans Pattern Anal Mach Intell - Multi-View Face Detection and Registration Requiring Minimal Manual Intervention. ( 0,700223812696994 )
IEEE Trans Image Process - Grassmannian regularized structured multi-view embedding for image classification. ( 0,700075119749917 )
IEEE Trans Image Process - Normalization of face illumination based on large-and small-scale features. ( 0,698152272720151 )
IEEE Trans Image Process - Common feature discriminant analysis for matching infrared face images to optical face images. ( 0,697741240154142 )
IEEE Trans Image Process - Learning templates for artistic portrait lighting analysis. ( 0,697245090274523 )
Med Biol Eng Comput - Quantitative color analysis for capillaroscopy image segmentation. ( 0,696310623822791 )
IEEE Trans Image Process - Coupled kernel embedding for low resolution face image recognition. ( 0,696227885994501 )
IEEE Trans Image Process - A feature-based learning framework for accurate prostate localization in CT images. ( 0,696065193664959 )
IEEE Trans Image Process - K-NN regression to improve statistical feature extraction for texture retrieval. ( 0,695848048654204 )
IEEE Trans Image Process - Semantic pyramids for gender and action recognition. ( 0,694264559858279 )
IEEE Trans Image Process - Local color vector binary patterns from multichannel face images for face recognition. ( 0,69326585364131 )
IEEE Trans Image Process - Weighted color and texture sample selection for image matting. ( 0,689502800886185 )
IEEE Trans Pattern Anal Mach Intell - Facial Age Estimation by Learning from Label Distributions. ( 0,687904523978617 )
IEEE Trans Image Process - Scale-invariant features and polar descriptors in omnidirectional imaging. ( 0,686467989275988 )
IEEE Trans Image Process - Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/object recognition. ( 0,685094026284252 )
Neural Comput - Large margin low rank tensor analysis. ( 0,684913828062814 )
IEEE Trans Image Process - Random forest construction with robust semisupervised node splitting. ( 0,683553519156944 )
IEEE Trans Image Process - Combining LBP difference and feature correlation for texture description. ( 0,68276552648503 )
IEEE Trans Image Process - Learning dynamic hybrid Markov random field for image labeling. ( 0,681714912105075 )
IEEE Trans Image Process - Image segmentation by MAP-ML estimations. ( 0,681433117326151 )
IEEE Trans Image Process - An attribute-assisted reranking model for web image search. ( 0,680363968878287 )
IEEE Trans Image Process - Fusing local patterns of Gabor magnitude and phase for face recognition. ( 0,680253823794291 )
Comput Methods Programs Biomed - Texture and moments-based classification of the acrosome integrity of boar spermatozoa images. ( 0,680213123059294 )
IEEE J Biomed Health Inform - Local object patterns for the representation and classification of colon tissue images. ( 0,679054226798438 )
IEEE Trans Image Process - Edge-SIFT: discriminative binary descriptor for scalable partial-duplicate mobile search. ( 0,677346382800508 )
IEEE Trans Pattern Anal Mach Intell - Describable Visual Attributes for Face Verification and Image Search. ( 0,677341267264668 )
IEEE Trans Image Process - Enhanced local texture feature sets for face recognition under difficult lighting conditions. ( 0,675302127063786 )
Comput. Biol. Med. - Segmentation of microarray images using pixel classification-comparison with clustering-based methods. ( 0,674235364905223 )
IEEE Trans Image Process - Pose-invariant face recognition using Markov random fields. ( 0,673623878865304 )
IEEE Trans Image Process - Tensor discriminant color space for face recognition. ( 0,673090790211671 )
IEEE Trans Image Process - Robust weighted graph transformation matching for rigid and nonrigid image registration. ( 0,672393751383072 )
IEEE Trans Image Process - Geodesic propagation for semantic labeling. ( 0,669569066627094 )
IEEE Trans Image Process - Shape vocabulary: a robust and efficient shape representation for shape matching. ( 0,668853402224818 )
IEEE Trans Image Process - Bayesian texture classification based on contourlet transform and BYY harmony learning of Poisson mixtures. ( 0,668245524024291 )
IEEE Trans Image Process - Task-dependent visual-codebook compression. ( 0,666740934662961 )
IEEE Trans Image Process - USB: ultrashort binary descriptor for fast visual matching and retrieval. ( 0,666454807547628 )
IEEE Trans Pattern Anal Mach Intell - Learning Hybrid Image Templates (HIT) by Information Projection. ( 0,664852214265997 )
Comput Methods Programs Biomed - Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images. ( 0,661678341434953 )
IEEE Trans Pattern Anal Mach Intell - Local Pyramidal Descriptors for Image Recognition. ( 0,659367828453067 )
IEEE Trans Image Process - Color constancy using 3D scene geometry derived from a single image. ( 0,65923650457032 )
IEEE Trans Image Process - Local directional number pattern for face analysis: face and expression recognition. ( 0,658522677905792 )
IEEE Trans Image Process - Harmonic active contours. ( 0,656725999078085 )
IEEE Trans Image Process - Face recognition system using multiple face model of hybrid Fourier feature under uncontrolled illumination variation. ( 0,656499177647967 )
IEEE Trans Pattern Anal Mach Intell - Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance. ( 0,656204290299039 )
Comput Methods Programs Biomed - Texture and color based image segmentation and pathology detection in capsule endoscopy videos. ( 0,655380729194421 )
IEEE Trans Image Process - Salient region detection by fusing bottom-up and top-down features extracted from a single image. ( 0,654322428090728 )
IEEE Trans Image Process - Nonnegative Tensor Co-Factorization and Its Unified Solution. ( 0,654213068885646 )
IEEE Trans Image Process - Multiple kernel sparse representations for supervised and unsupervised learning. ( 0,65298866302659 )
IEEE Trans Pattern Anal Mach Intell - Retrieval-based Face Annotation by Weak Label Regularized Local Coordinate Coding. ( 0,652946220080668 )
IEEE Trans Image Process - Object segmentation of database images by dual multiscale morphological reconstructions and retrieval applications. ( 0,652325433209398 )