The advancement in cancer research using high throughput technology and artificial
intelligence (AI) is gaining momentum to improve disease diagnosis and targeted therapy …

Skin cancer mortality rates continue to rise, and survival analysis is increasingly needed to
understand who is at risk and what interventions improve outcomes. However, current …

Skin cancer has a significant impact on the lives of many individuals annually and is
recognized as the most prevalent type of cancer. In the United States, an estimated annual …

There are many different kinds of skin cancer, and an early and precise diagnosis is crucial
because skin cancer is both frequent and deadly. The key to effective treatment is accurately …

This paper presents a skin cancer classification model that combines a pre-trained
Convolutional Neural Network (CNN) with a nature-inspired feature optimization algorithm …

Problem Cancer is a deadly disease that requires better diagnostics. Early detection
improves skin cancer survival. Due to skin lesion dissimilarity, automated image …

Despite being one of the worst kinds of cancer, skin cancer deaths have risen rapidly in
recent years. Lack of education about the disease's warning signals and the Identifying …

Skin cancer can be treated if it is detected early. Many artificial intelligence-based models
have been developed for skin cancer detection and classification. Considering the …

This study introduces a novel deep learning-based approach for skin cancer diagnosis and
treatment planning to overcome existing limitations. The proposed system employs a series …

Cutaneous squamous cell carcinoma (cSCC) harbors metastatic potential and causes
mortality. However, clinical assessment of metastasis risk is challenging. We approached …