A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study

[Image: see text] The pathology of animal studies is crucial for toxicity evaluations and regulatory assessments, but the manual examination of slides by pathologists remains time-consuming and requires extensive training. One inherent challenge in this process is the interobserver variability, whic...

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Detalles Bibliográficos
Autores principales: Bussola, Nicole, Xu, Joshua, Wu, Leihong, Gorini, Lorenzo, Zhang, Yifan, Furlanello, Cesare, Tong, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445282/
https://www.ncbi.nlm.nih.gov/pubmed/37540590
http://dx.doi.org/10.1021/acs.chemrestox.3c00058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445282/
https://www.ncbi.nlm.nih.gov/pubmed/37540590
http://dx.doi.org/10.1021/acs.chemrestox.3c00058

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