Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights from Usability Study with Pathologists

Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights from Usability Study with Pathologists

Prostate cancer remains a significant cause of male cancer mortality in the United States, with an estimated 288,300 new cases in 2023. Accurate grading of prostate cancer is crucial for ascertaining disease severity and shaping treatment strategies. Modern deep learning techniques show promise in g...

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Bibliographic Details
Main Authors: Akarsh Singh, Shruti Randive, Anne Breggia, Bilal Ahmad, Robert Christman, Saeed Amal
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Cancers
Subjects:
prostate cancer
digital pathology
artificial intelligence
multimodal data
human computer interaction
usability test
Online Access:https://www.mdpi.com/2072-6694/15/23/5659

Internet

https://www.mdpi.com/2072-6694/15/23/5659

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