2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion
Ehsan Sadeghi Pour, Mahdi Esmaeili, Morteza Romoozi
Breast cancer is one of the most common cancers among women worldwide, and its accurate and timely diagnosis plays a critical role in improving treatment outcomes. This thesis pres…
eess.IV2023★ 2 cited
Lung Cancer Detection from CT Scan Images based on Genetic-Independent Recurrent Deep Learning
Ehsan Sadeghi Pour, Mahdi Esmaeili
Lung cancer is one of the prevalence diseases in the world which cause many deaths. Detecting early stages of lung cancer is so necessary. So, modeling and simulating some intellig…