[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
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 …

State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

H Bhatt, V Shah, K Shah, R Shah, M Shah - Intelligent Medicine, 2023 - mednexus.org
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …

Region-of-interest based transfer learning assisted framework for skin cancer detection

R Ashraf, S Afzal, AU Rehman, S Gul, J Baber… - IEEE …, 2020 - ieeexplore.ieee.org
Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …

Classification of melanoma and nevus in digital images for diagnosis of skin cancer

MQ Khan, A Hussain, SU Rehman, U Khan… - IEEE …, 2019 - ieeexplore.ieee.org
Melanoma is considered a fatal type of skin cancer. However, it is sometimes hard to
distinguish it from nevus due to their identical visual appearance and symptoms. The …

Research on skin cancer cell detection using image processing

E Jana, R Subban, S Saraswathi - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Out of the three basic types of skin cancer, namely, Basal Cell Carcinoma (BCC), Squamous
Cell Carcinoma (SCC) and Melanoma, Melanoma is the most dangerous in which survival …

[HTML][HTML] An efficient AdaBoost algorithm for enhancing skin cancer detection and classification

S Gamil, F Zeng, M Alrifaey, M Asim, N Ahmad - Algorithms, 2024 - mdpi.com
Skin cancer is a prevalent and perilous form of cancer and presents significant diagnostic
challenges due to its high costs, dependence on medical experts, and time-consuming …

A weighted ensemble transfer learning approach for melanoma classification from skin lesion images

H Meswal, D Kumar, A Gupta, S Roy - Multimedia Tools and Applications, 2024 - Springer
Cancer is the foremost cause of mortality among humans, as per statistics and accurate
classification of the lesion is critical for treating skin cancer at an early stage. Identification of …

Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms

VAO Nancy, P Prabhavathy, MS Arya… - Multimedia Tools and …, 2023 - Springer
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 …

Skin disease classification using dermoscopy images through deep feature learning models and machine learning classifiers

S Gupta, A Panwar, K Mishra - IEEE EUROCON 2021-19th …, 2021 - ieeexplore.ieee.org
Skin is one of the very important and largest organs of the human body that helps in
regulating the body temperature and is responsible for sensations such as feel, touch, hot …

A standardized approach for skin detection: Analysis of the literature and case studies

L Nanni, A Loreggia, A Lumini, A Dorizza - Journal of Imaging, 2023 - mdpi.com
Skin detection involves identifying skin and non-skin areas in a digital image and is
commonly used in various applications, such as analyzing hand gestures, tracking body …