Comput Methods Programs Biomed - Gold-standard and improved framework for sperm head segmentation.

Tópicos

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Resumo

Semen analysis is the first step in the evaluation of an infertile couple. Within this process, an accurate and objective morphological analysis becomes more critical as it is based on the correct detection and segmentation of human sperm components. In this paper, we present an improved two-stage framework for detection and segmentation of human sperm head characteristics (including acrosome and nucleus) that uses three different color spaces. The first stage detects regions of interest that define sperm heads, using k-means, then candidate heads are refined using mathematical morphology. In the second stage, we work on each region of interest to segment accurately the sperm head as well as nucleus and acrosome, using clustering and histogram statistical analysis techniques. Our proposal is also characterized by being fully automatic, where a user intervention is not required. Our experimental evaluation shows that our proposed method outperforms the state-of-the-art. This is supported by the results of different evaluation metrics. In addition, we propose a gold-standard built with the cooperation of a referent expert in the field, aiming to compare methods for detecting and segmenting sperm cells. Our results achieve notable improvement getting above 98% in the sperm head detection process at the expense of having significantly fewer false positives obtained by the state-of-the-art method. Our results also show an accurate head, acrosome and nucleus segmentation achieving over 80% overlapping against hand-segmented gold-standard. Our method achieves higher Dice coefficient, lower Hausdorff distance and less dispersion with respect to the results achieved by the state-of-the-art method.

Resumo Limpo

semen analysi first step evalu infertil coupl within process accur object morpholog analysi becom critic base correct detect segment human sperm compon paper present improv twostag framework detect segment human sperm head characterist includ acrosom nucleus use three differ color space first stage detect region interest defin sperm head use kmean candid head refin use mathemat morpholog second stage work region interest segment accur sperm head well nucleus acrosom use cluster histogram statist analysi techniqu propos also character fulli automat user intervent requir experiment evalu show propos method outperform stateoftheart support result differ evalu metric addit propos goldstandard built cooper refer expert field aim compar method detect segment sperm cell result achiev notabl improv get sperm head detect process expens signific fewer fals posit obtain stateoftheart method result also show accur head acrosom nucleus segment achiev overlap handseg goldstandard method achiev higher dice coeffici lower hausdorff distanc less dispers respect result achiev stateoftheart method

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