Lars Mecklenburg, C Marc Luetjens, Annette Romeike, Rohit Garg, Pranab Samanta, Amogh Mohanty, Tijo Thomas, Gerhard Weinbauer
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引用次数: 0
摘要
要间接评估对猕猴生育能力的不利影响,就必须对睾丸组织切片进行显微镜评估,同时了解曲细精管特定横截面所处的精子发生阶段。这项艰巨而主观的任务可以从自动化中获益良多。利用睾丸组织切片的数字全切片图像(WSI),我们开发出了一种深度学习模型,能以高灵敏度、高精度和高准确性注释每个小管的阶段。该模型使用六阶段生精分类系统在六张 WSI 上进行了验证。整张玻片图像平均包含 4938 个曲细精管横截面。平均而言,78% 的精小管被分期,其中 29% 属于 I-IV 期,12% 属于 V-VI 期,4% 属于 VII 期,19% 属于 VIII-IX 期,18% 属于 X-XI 期,17% 属于 XII 期。深度学习模型可帮助病理学家对睾丸进行分期评估。它还能推导出分期频率图。该阶段频率图的诊断价值尚不明确,因为还需要针对精子生成障碍的睾丸生成更多有关其可变性和相关性的数据。
Deep Learning-Based Spermatogenic Staging in Tissue Sections of Cynomolgus Macaque Testes.
The indirect assessment of adverse effects on fertility in cynomolgus monkeys requires that tissue sections of the testis be microscopically evaluated with awareness of the stage of spermatogenesis that a particular cross-section of a seminiferous tubule is in. This difficult and subjective task could very much benefit from automation. Using digital whole slide images (WSIs) from tissue sections of testis, we have developed a deep learning model that can annotate the stage of each tubule with high sensitivity, precision, and accuracy. The model was validated on six WSI using a six-stage spermatogenic classification system. Whole slide images contained an average number of 4938 seminiferous tubule cross-sections. On average, 78% of these tubules were staged with 29% in stage I-IV, 12% in stage V-VI, 4% in stage VII, 19% in stage VIII-IX, 18% in stage X-XI, and 17% in stage XII. The deep learning model supports pathologists in conducting a stage-aware evaluation of the testis. It also allows derivation of a stage-frequency map. The diagnostic value of this stage-frequency map is still unclear, as further data on its variability and relevance need to be generated for testes with spermatogenic disturbances.
期刊介绍:
Toxicologic Pathology is dedicated to the promotion of human, animal, and environmental health through the dissemination of knowledge, techniques, and guidelines to enhance the understanding and practice of toxicologic pathology. Toxicologic Pathology, the official journal of the Society of Toxicologic Pathology, will publish Original Research Articles, Symposium Articles, Review Articles, Meeting Reports, New Techniques, and Position Papers that are relevant to toxicologic pathology.