In this paper, a deep neural network based ensemble method is experimented for automatic
identification of skin disease from dermoscopic images. The developed algorithm is applied …

Background: Numerous studies have attempted to apply artificial intelligence (AI) in the
dermatological field, mainly on the classification and segmentation of various dermatoses …

With the explosion of advanced Information and Recognition model, primarily the Deep
Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been …

This study compares four deep learning models in order to find the best performing model to
construct a skin disease detection system for diagnosing three dangerous but uncommon …

Skin lesion is any abnormalities occurring to the skin's tissue in terms of size, texture, shape,
and color. It can be a sign of autoimmune disorders, diabetes, etc. It can be a potentially …

When a person has a specific skin problem, he or she must go to the doctor in person, which
involves time and money. It may also be difficult to detect the issue if the affected individual …

Purpose The purpose of this study was to develop a deep learning-based computer-aided
diagnosis system for skin disease classification using photographic images of patients. The …

Despite all the contributions of deep learning (DL) which have contributed to improving
performance in the field of dermatology, the classification of skin diseases remains …

Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

Skin disease among humans has been a common disease, millions of people are suffering
from various kinds of skin diseases. Usually, these diseases have hidden dangers which …