Hexa-gan: Skin lesion image inpainting via hexagonal sampling based generative adversarial network

N Bansal, S Sridhar - Biomedical Signal Processing and Control, 2024 - Elsevier
Skin cancer is the uncontrollable proliferation of abnormal cells in the epidermis. In manual
examination, the dermoscopic images are used by clinicians to detect skin cancer. However …

Fine-tuned Transfer Learning Models for Multi-class Classification of Melanoma Skin Cancer

AS Shinde, S Chaudhari - 2024 2nd DMIHER International …, 2024 - ieeexplore.ieee.org
Melanoma skin cancer is the deadliest disease that needs detection and treatment at early
stages. Systems have been proposed in the literature for melanoma skin cancer detection …

Analysing Several Hair and Noise Removal Techniques on a Skin Lesion during the Preprocessing Stage

S Praveena, T Veeramakali - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The cancer identified as melanoma is a highly serious and fast form of the disease, and it
doesn't have any of the typical symptoms of malignancy. Melanoma accounts for …

Image Enhancment Hair Removal in Dermoscopy Images Using Dual Swin Autoencoder

M Malathi, FMH Fernandez - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Skin cancer requires effective treatment for better survival rates especially in the case of
melanoma. To reduce the image noise and removing hair the conventional method takes …

[PDF][PDF] МЕТОД МУЛЬТИМОДАЛЬНОГО АНАЛИЗА РАМАНОВСКОГО РАССЕЯНИЯ И ДЕРМАТОСКОПИЧЕСКИХ ИЗОБРАЖЕНИЙ ДЛЯ ДИАГНОСТИКИ …

ИА Матвеева - 2024 - ssau.ru
Диссертация посвящена разработке метода мультимодального многомерного анализа
спектральных данных рамановского рассеяния и пространственных данных …