[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
TG Debelee - Diagnostics, 2023 - mdpi.com
Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
[PDF][PDF] Analysis and design of surgical instrument localization algorithm
With the help of surgical navigation system, doctors can operate on patients more intuitively
and accurately. The positioning accuracy and real-time performance of surgical instruments …
and accurately. The positioning accuracy and real-time performance of surgical instruments …
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Human Skin cancer is commonly detected visually through clinical screening followed by a
dermoscopic examination. However, automated skin lesion classification remains …
dermoscopic examination. However, automated skin lesion classification remains …
A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity
The recent 'Mpox'outbreak, formerly known as 'Monkeypox', has been a significant public
health concern and spread to over 110 countries globally. The challenge of clinically …
health concern and spread to over 110 countries globally. The challenge of clinically …
Skin cancer classification framework using enhanced super resolution generative adversarial network and custom convolutional neural network
Simple Summary Skin cancer is one of the most fatal diseases for mankind. The early
detection of skin cancer will facilitate its overall treatment and contribute towards lowering …
detection of skin cancer will facilitate its overall treatment and contribute towards lowering …
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
A smart Alzheimer's patient monitoring system with IoT-assisted technology through enhanced deep learning approach
Earlier detection of Alzheimer's disease is more significant for improving the quality of the
patient's life. This aspect may reduce the fatality rate among the population and also …
patient's life. This aspect may reduce the fatality rate among the population and also …
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
[HTML][HTML] A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
A substantial body of research has been published in artificial intelligence due to the rising
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …