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20182026
most citedAn Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

27 citations · 34 across the 7 of their papers we have counts for

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eess.IV2026

BAT-RM: A Boundary-Aware Transformer with Region-Aware Multi-Directional Mamba for Clinically Deployed Cervical Cancer Radiotherapy Auto-Contouring

Istiak Ahmed, Kazi Shahriar Sanjid, Galib Ahmed +16

We present a clinically deployed end-to-end auto-contouring system for cervical cancer radiotherapy planning, anchored by the Boundary-Aware Transformer with Region-Aware Mamba (BA…

eess.IV20211 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.IV20192 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.IV201927 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…