Background Skin cancer is the most common cancer type affecting humans. Traditional skin
cancer diagnosis methods are costly, require a professional physician, and take time …

This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases
diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye …

Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …

Reflectance confocal microscopy (RCM) is a non-invasive imaging method designed to
identify various skin diseases. Confocal based diagnosis may be subjective due to the …

Melanoma presents challenges for timely and accurate diagnosis. Expert panels have
issued risk‐based screening guidelines, with recommended screening by visual inspection …

Cutaneous melanoma is one of the most common malignancies with increased incidence in
the past few decades, making it a significant public health problem. The early diagnosis of …

Cutaneous malignancies are common malignancies worldwide, with rising incidence. Most
skin cancers, including melanoma, can be cured if diagnosed correctly at an early stage …

Ex vivo confocal microscopy (EVCM) generates digitally colored purple-pink images similar
to H&E without time-consuming tissue processing. It can be used during Mohs surgery for …

Simple Summary Artificial intelligence (AI) has shown promise in detecting and diagnosing
nonmelanoma skin cancer through image analysis. The incidence of skin cancer continues …