2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2024
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
Amin Malekmohammadi, Ali Badiezadeh, Seyed Mostafa Mirhassani +2
Prostate cancer ranks among the leading health issues impacting men, with the Gleason scoring system serving as the primary method for diagnosis and prognosis. This system relies o…
cs.CV2024★ 2 cited
Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO
Ali Badiezadeh, Amin Malekmohammadi, Seyed Mostafa Mirhassani +2
Accurate segmentation of prostate cancer histopathology images is crucial for diagnosis and treatment planning. This study presents a comparative analysis of three deep learning-ba…