A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy specimens (PBSs). Our CAD system aims to firstly classify the Gleason patter...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2021-10-01
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| Серія: | Sensors |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1424-8220/21/20/6708 |
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