It is indispensable to develop techniques that are preprogramed in order to ameliorate the accuracy of diagnosis for multitype skin diseases. Our current research involves the proposition of an efficient approach to detect the kind of skin disease on the human body. In this paper, we are ...
Skin Lesion Segmentation via Deep RefineNet [paper] Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks [paper] Segmentation of dermoscopy images based on fully convolutional neural network [paper] Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional...
of skin cancer are squamous and basal cell carcinomas, and melanoma, which is clinically aggressive and responsible for most deaths. Therefore, skin cancer screening is necessary. One of the best methods to accurately and swiftly identify skin cancer is using deep learning (DL). In this ...
skin cancer detection; melanoma detection; automated diagnosis of pigmented skin lesions (PSLs), computer-aided diagnosis; literature review; clinical skin images1. Introduction Skin cancers have been on the rise in recent decades, becoming a very significant public health issue [1]. Among the ...
Genital wart:A wart in the moist skin of the genitals or around the anus.Genital wartsare due to a human papillomavirus (HPV). The HPVs, including those that cause genitalwarts, are transmitted through sexual contact. HPV can also be transmitted from mother to baby during childbirth. Most ...
Research has been conducted on using deep learning methods to analyze medical images to assist diagnosis such as breast cancer detection [4], [5], skin cancer classification [6], [7], lung disease detection from chest X-ray images [8], fundus image segmentation [9], [10], lung ...
Undergoing a mammogram to detect breast cancer in its early stages is known as screening. If a person has any symptoms of breast cancer, such as a palpable mass, bloody nipple discharge, or skin changes, they will undergo a diagnostic mammogram. This is a more in-depth mammogram than a sc...
Superiority of computer-aided diagnosis based on deep learning have recently been reported for a wide spectrum of diseases, including gastric cancer [23], diabetic retinopathy [16], cardiac arrhythmia [24], skin cancer [17] and colorectal polyp [25]. Notably, a wide variety of image types ...
This cross-sectional study investigates the association of surgical skin markings in dermoscopic images with the diagnostic performance of a deep learning
Huang H-Y, Hsiao Y-P, Mukundan A, Tsao Y-M, Chang W-Y, Wang H-C (2023) Classification of skin cancer using novel hyperspectral imaging engineering via YOLOv5. J Clin Med 12(3):1134 Article Google Scholar Le KH, Tran TV, Pham HH, Nguyen HT, Le TT, Nguyen HQ (2023) Learning...