[HTML][HTML] Skin cancer classification using fine-tuned transfer learning of DENSENET-121
Skin cancer diagnosis greatly benefits from advanced machine learning techniques,
particularly fine-tuned deep learning models. In our research, we explored the impact of …
particularly fine-tuned deep learning models. In our research, we explored the impact of …
Detection and classification of melanoma skin cancer using image processing technique
CK Viknesh, PN Kumar, R Seetharaman, D Anitha - Diagnostics, 2023 - mdpi.com
Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …
A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Y Aydin - Diagnostics, 2023 - mdpi.com
Among the most serious types of cancer is skin cancer. Despite the risk of death, when
caught early, the rate of survival is greater than 95%. This inspires researchers to explore …
caught early, the rate of survival is greater than 95%. This inspires researchers to explore …
State-of-the-art skin disease classification: a review of deep learning models
Skin disease classification and detection have gained much research attention over the
years, considering that skin disease, a prevalent medical concern due to the vulnerability of …
years, considering that skin disease, a prevalent medical concern due to the vulnerability of …
Melanoma detection using Particle Swarm Optimized Artificial Neural Network
R Sethulekshmi, JA Linsely - International Research Journal on …, 2024 - rspsciencehub.com
Melanoma, the most dreadful skin cancer with a high mortality rate, is initially diagnosed
visually through clinical screening, dermoscopic analysis, biopsy, and histopathological …
visually through clinical screening, dermoscopic analysis, biopsy, and histopathological …