2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
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…
Automatic Ship Classification Utilizing Bag of Deep Features
Sadegh Soleimani Pour, Ata Jodeiri, Hossein Rashidi +3
Detection and classification of ships based on their silhouette profiles in natural imagery is an important undertaking in computer science. This problem can be viewed from a varie…