Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning

Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning

Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in a highly curated data cohort and validate it on an independent dataset. The histology image...

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Bibliographic Details
Main Authors: Ryan Fogarty, Dmitry Goldgof, Lawrence Hall, Alex Lopez, Joseph Johnson, Manoj Gadara, Radka Stoyanova, Sanoj Punnen, Alan Pollack, Julio Pow-Sang, Yoganand Balagurunathan
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
prostate
Gleason cancer grading
pathology
uropathology
whole-slide image
ISUP grade
Online Access:https://www.mdpi.com/2072-6694/15/8/2335

Internet

https://www.mdpi.com/2072-6694/15/8/2335

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