A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies

Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologist. Deep Learning (DL) systems have shown promise in enhancing the objectivity and efficiency of Gleason grading. However, DL networks exhibit domain s...

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Detalles Bibliográficos
Autores principales: Singhal, Nitin, Soni, Shailesh, Bonthu, Saikiran, Chattopadhyay, Nilanjan, Samanta, Pranab, Joshi, Uttara, Jojera, Amit, Chharchhodawala, Taher, Agarwal, Ankur, Desai, Mahesh, Ganpule, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888647/
https://www.ncbi.nlm.nih.gov/pubmed/35233002
http://dx.doi.org/10.1038/s41598-022-07217-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888647/
https://www.ncbi.nlm.nih.gov/pubmed/35233002
http://dx.doi.org/10.1038/s41598-022-07217-0

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