Open AccessSATINN: an automated neural network-based classification of testicular sections allows for high-throughput histopathology of mouse mutants
Author(s) -
Ran Yang,
Alexandra M. Stendahl,
Katinka A. VighConrad,
Madison Held,
Ana C. Lima,
Donald F. Conrad
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac673
Subject(s) - convolutional neural network , seminiferous tubule , computer science , source code , pattern recognition (psychology) , deep learning , artificial intelligence , process (computing) , biology , computational biology , spermatogenesis , sertoli cell , endocrinology , operating system
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