In real-world classification tasks, each class often comprises multiple finer-grained"
subclasses." As the subclass labels are frequently unavailable, models trained using only …

Background Computer vision may aid in melanoma detection. Objective We sought to
compare melanoma diagnostic accuracy of computer algorithms to dermatologists using …

The limited ability of Convolutional Neural Networks to generalize to images from previously
unseen domains is a major limitation, in particular, for safety-critical clinical tasks such as …

This paper proposes a computer assisted diagnostic system for the detection of melanoma
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …

Significance: There have been numerous academic and commercial efforts to develop high-
resolution in vivo microscopes for a variety of clinical use cases, including early disease …

Skin cancer is the most common form of cancer, and melanoma is the leading cause of
cancer related deaths. To improve the chances of survival, early detection of melanoma is …

REFERENCES 1. Ohn J, Choe YS, Mun JH. Dermoscopic features of nail matrix nevus
(NMN) in adults and children: a comparative analysis. J Am Acad Dermatol. 2016; 75: 535 …

The potential of deep neural networks in skin lesion classification has already been
demonstrated to be on-par if not superior to the dermatologists' diagnosis in experimental …

The value of dermoscopy in the detection of skin cancer is well established. Less is
published on the utility of dermoscopy in the evaluation of pediatric skin disease. Our review …

Background The global impact of skin cancer has underscored the urgency of accurate and
timely detection for effective treatment. In recent years, the medical research landscape has …