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20172024
most citedA lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification

3 citations · 11 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.IV2024

BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images

Farzaneh Koohestani, Zahra Nabizadeh, Nader Karimi +2

The enhancement of image luminosity is especially critical in endoscopic images. Underexposed endoscopic images often suffer from reduced contrast and uneven brightness, significan…

eess.IV20243 cited

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…

eess.IV20232 cited

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…

eess.IV20213 cited

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…

eess.IV20211 cited

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…