[HTML][HTML] Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review
R Vardasca, JG Mendes, C Magalhaes - Journal of Imaging, 2024 - mdpi.com
The increasing incidence of and resulting deaths associated with malignant skin tumors are
a public health problem that can be minimized if detection strategies are improved …
a public health problem that can be minimized if detection strategies are improved …
Revolutionizing skin cancer diagnosis and management: The role of artificial intelligence in dermatology
Artificial Intelligence (AI) is increasingly sha** the field of dermatology, particularly in the
detection and management of skin cancers, including melanoma, basal cell carcinoma …
detection and management of skin cancers, including melanoma, basal cell carcinoma …
Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images
Skin, a vital organ acting as a protective barrier to the external environment, plays a pivotal
role in overall human health. Early detection of skin diseases is essential, as untreated …
role in overall human health. Early detection of skin diseases is essential, as untreated …
OPTIMIZING SKIN CANCER DETECTION IN THE USA HEALTHCARE SYSTEM USING DEEP LEARNING AND CNNS
Skin cancer is among the most prevalent cancers in the USA, with millions of new cases
reported each year. The two main types of skin cancer include aggressive, life-threatening …
reported each year. The two main types of skin cancer include aggressive, life-threatening …
Game Theory-Based Comparison of Disaster Risk Assessment for Two Landfall Typhoons: A Case Study of Jilin Province's Impact.
Z Dong, D Zhu, Y Zhang, J Zhang, X Yang… - …, 2024 - search.ebscohost.com
Utilizing the best typhoon track data, district and county scale disaster data in Jilin Province,
meteorological data, and geographical data, the combined weighting method of AHP-EWM …
meteorological data, and geographical data, the combined weighting method of AHP-EWM …
Enhanced Skin Disease Detection Using Deep Learning with Fully-Convolutional Residual Networks and Lesion Index Calculation Unit
C Thilagavathi, S Thilagamani - 2024 9th International …, 2024 - ieeexplore.ieee.org
Detection of skin diseases is a very important branch of medical image analysis and, hence,
early diagnosis is vital for the patient's recovery. This paper proposes an integrated multi …
early diagnosis is vital for the patient's recovery. This paper proposes an integrated multi …
A Deep Learning Approach to Classify Skin Cancer
M Sharma, P Kumar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
A effective treatment for skin cancer depends on early discovery, which may be a major
around the world health issue. This study offers a interesting strategy for dependably …
around the world health issue. This study offers a interesting strategy for dependably …
Zebra Optimization Algorithm with Convolutional Neural Network for Detecting Subtle Changes in Skin Pigmentation for Melanoma Screening
Melanoma is easily detectable by visual examination since it occurs on the skin surface.
Traditionally approach inefficiently to capture to diagnosis, it need to facilitate the diagnosis …
Traditionally approach inefficiently to capture to diagnosis, it need to facilitate the diagnosis …
[PDF][PDF] Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Melanoma is one of the most aggressive types of skin cancer, and its early detection is
critical to improving survival rates and treatment outcomes for patients. Conventional …
critical to improving survival rates and treatment outcomes for patients. Conventional …