70 citations · 82 across the 12 of their papers we have counts for
6 papers · 1 filter
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
Mahdie Ahmadi, Nader Karimi, Shadrokh Samavi
Accurate and early detection of breast cancer is essential for successful treatment. This paper introduces a novel deep-learning approach for improved breast cancer classification…
Lossless Microarray Image Compression by Hardware Array Compactor
Anahita Banaei, Shadrokh Samavi, Ebrahim Nasr Esfahani
Microarray technology is a new and powerful tool for the concurrent monitoring of a large number of gene expressions. Each microarray experiment produces hundreds of images. Each d…
Endoscopy Classification Model Using Swin Transformer and Saliency Map
Zahra Sobhaninia, Nasrin Abharian, Nader Karimi +2
Endoscopy is a valuable tool for the early diagnosis of colon cancer. However, it requires the expertise of endoscopists and is a time-consuming process. In this work, we propose a…
Low Latency Video Denoising for Online Conferencing Using CNN Architectures
Altanai Bisht, Ana Carolina de Souza Mendes, Justin David Thoreson +1
In this paper, we propose a pipeline for real-time video denoising with low runtime cost and high perceptual quality. The vast majority of denoising studies focus on image denoisin…
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi +1
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages incre…
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi
Digital pathology is one of the most significant developments in modern medicine. Pathological examinations are the gold standard of medical protocols and play a fundamental role i…