Basel Alyafi
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View article: Quality analysis of DCGAN-generated mammography lesions
Quality analysis of DCGAN-generated mammography lesions Open
Medical image synthesis has gained a great focus recently, especially after the introduction of Generative Adversarial Networks (GANs). GANs have been used widely to provide anatomically-plausible and diverse samples for augmentation and o…
View article: DCGANs for realistic breast mass augmentation in x-ray mammography
DCGANs for realistic breast mass augmentation in x-ray mammography Open
Early detection of breast cancer has a major contribution to curability, and using mammographic images, this can be achieved non-invasively. Supervised deep learning, the dominant CADe tool currently, has played a great role in object dete…
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques Open
Automatic segmentation of brain Magnetic Resonance Imaging (MRI) images is one of the vital steps for quantitative analysis of brain for further inspection. In this paper, NeuroNet has been adopted to segment the brain tissues (white matte…
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations Open
Lesion segmentation from the surrounding skin is the first task for developing automatic Computer-Aided Diagnosis of skin cancer. Variant features of lesion like uneven distribution of color, irregular shape, border and texture make this t…