[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
[HTML][HTML] An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model
This research addresses the challenge of automating skin disease diagnosis using
dermatoscopic images. The primary issue lies in accurately classifying pigmented skin …
dermatoscopic images. The primary issue lies in accurately classifying pigmented skin …
TransSLC: Skin lesion classification in dermatoscopic images using transformers
Early diagnosis and treatment of skin cancer can reduce patients' fatality rates significantly.
In the area of computer-aided diagnosis (CAD), the Convolutional Neural Network (CNN) …
In the area of computer-aided diagnosis (CAD), the Convolutional Neural Network (CNN) …
[HTML][HTML] Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation
Skin cancer is the abnormal development of cells on the surface of the skin and is one of the
most fatal diseases in humans. It usually appears in locations that are exposed to the sun …
most fatal diseases in humans. It usually appears in locations that are exposed to the sun …
Enhancing Skin Cancer Detection and Classification: Exploring the Impact of Attention Mechanisms in Transfer Learning Models
D Halabi - 2023 - preprints.org
Skin cancer is a global health concern with increasing prevalence, necessitating effective
early detection and classification systems. Transfer learning has emerged as a powerful tool …
early detection and classification systems. Transfer learning has emerged as a powerful tool …