Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage,
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
[HTML][HTML] Enhancing melanoma diagnosis with advanced deep learning models focusing on vision transformer, swin transformer, and convnext
S Aksoy, P Demircioglu, I Bogrekci - Dermatopathology, 2024 - mdpi.com
Skin tumors, especially melanoma, which is highly aggressive and progresses quickly to
other sites, are an issue in various parts of the world. Nevertheless, the one and only way to …
other sites, are an issue in various parts of the world. Nevertheless, the one and only way to …
A novel deep learning framework based swin transformer for dermal cancer cell classification
K Ramkumar, EP Medeiros, A Dong… - … Applications of Artificial …, 2024 - Elsevier
Recent studies have demonstrated the efficacy of deep learning architectures in enhancing
the interpretation of skin images, thereby aiding in the classification and segmentation of …
the interpretation of skin images, thereby aiding in the classification and segmentation of …
A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images
Lyme disease, caused by a bacterium transmitted through the bite of an infected tick, is often
misdiagnosed due to its similarity to other conditions like drug rash. This research introduces …
misdiagnosed due to its similarity to other conditions like drug rash. This research introduces …