Artificial Intelligence Algorithms and Their Current Role in the Identification and Comparison of Gleason Patterns in Prostate Cancer Histopathology: A Comprehensive Review
The development of the Gleason grading system has proven to be an irreplaceable tool in prostate cancer diagnostics within urology. Despite the advancements and developments in diagnostics, there remains a discrepancy in the grading process among even the most experienced pathologists. AI algorithms...
Saved in:
| Main Authors: | Usman Khalid, Jasmin Gurung, Mladen Doykov, Gancho Kostov, Bozhidar Hristov, Petar Uchikov, Maria Kraeva, Krasimir Kraev, Daniel Doykov, Katya Doykova, Siyana Valova, Lyubomir Chervenkov, Eduard Tilkiyan, Krasimira Eneva |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/14/19/2127 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk factors related to amputation in diabetic foot patients: single center outcomes
by: Gancho Kostov, et al.
Published: (2024-10-01) -
Clinical Predictors and Risk Factors of Gleason Score Upgrade: A Retrospective Cohort Analysis
by: Carmine Sciorio, et al.
Published: (2025-05-01) -
Factors influencing Gleason score up/downgrade in radical prostatectomy
by: Zafer Gokhan Gurbuz, et al.
Published: (2025-07-01) -
Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care
by: Petar Uchikov, et al.
Published: (2024-11-01) -
Machine learning discrimination of Gleason scores below GG3 and above GG4 for HSPC patients diagnosis
by: Bingyu Zhu, et al.
Published: (2024-10-01)