138 citations · 220 across the 4 of their papers we have counts for
3 papers · 1 filter
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr +3
The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scan…
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network
Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari +5
Medical image analysis, especially segmenting a specific organ, has an important role in developing clinical decision support systems. In cardiac magnetic resonance (MR) imaging, s…
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network
Mojtaba Akbari, Majid Mohrekesh, Ebrahim Nasr-Esfahani +4
Colorectal cancer is a one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer and early diagnosis of polyps by…