most citedConditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning

Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab +3

The performance of diagnostic Computer-Aided Design (CAD) systems for retinal diseases depends on the quality of the retinal images being screened. Thus, many studies have been dev…

cs.CV2018★ 5 cited

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification

Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan +9

This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structur…