Abstract: Methods and systems for automated assessment of spermatogenesis. Embodiments disclosed herein relate to drug development and testicular toxicity in safety evaluation studies, and more particularly to automatic assessment of spermatogenesis through a staging of seminiferous tubules using Artificial Intelligence/deep learning methods. A method disclosed herein includes detecting the seminiferous tubules by analyzing a testes tissue specimen and mapping the seminiferous tubules to detect and segment germ cells. The method includes classifying the seminiferous tubules into respective stages based on the segmented germ cells. The method further includes categorizing the seminiferous tubules into a normal category and an abnormal category based on the segmented germ cells. The method further includes categorizing the testes tissue specimen into the normal category and the abnormal category based on the classification of the seminiferous tubules for toxicity analysis.

Abstract: Methods and systems for automated assessment of spermatogenesis. Embodiments disclosed herein relate to drug development and testicular toxicity in safety evaluation studies, and more particularly to automatic assessment of spermatogenesis through a staging of seminiferous tubules using Artificial Intelligence/deep learning methods. A method disclosed herein includes detecting the seminiferous tubules by analyzing a testes tissue specimen and mapping the seminiferous tubules to detect and segment germ cells. The method includes classifying the seminiferous tubules into respective stages based on the segmented germ cells. The method further includes categorizing the seminiferous tubules into a normal category and an abnormal category based on the segmented germ cells. The method further includes categorizing the testes tissue specimen into the normal category and the abnormal category based on the classification of the seminiferous tubules for toxicity analysis.