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M. Abdel-Nasser

3 papers hereh-index 222.3k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV3

identity via Semantic Scholar / OpenAlex

most citedAn Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

27 citations · 30 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 1 cited

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation

Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser +2

Lung cancer is deadly cancer that causes millions of deaths every year around the world. Accurate lung nodule detection and segmentation in computed tomography (CT) images is the m…

eess.IV2019★ 2 cited

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation

Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan +4

In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In t…

eess.IV2019★ 27 cited

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser +5

This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditio…

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