[HTML][HTML] Deep learning-based automatic assessment of radiation dermatitis in patients with nasopharyngeal carcinoma
Purpose Radiation dermatitis (RD) is a common, unpleasant side effect of patients receiving
radiation therapy. In clinical practice, the severity of RD is graded manually through visual …
radiation therapy. In clinical practice, the severity of RD is graded manually through visual …
A Segmentation of Melanocytic Skin Lesions in Dermoscopic and Standard Images Using a Hybrid Two‐Stage Approach
YN Hwang, MJ Seo, SM Kim - BioMed Research International, 2021 - Wiley Online Library
The segmentation of a skin lesion is regarded as very challenging because of the low
contrast between the lesion and the surrounding skin, the existence of various artifacts, and …
contrast between the lesion and the surrounding skin, the existence of various artifacts, and …
Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture
R Kaur, S Kaur - Multimedia Tools and Applications, 2024 - Springer
The automatic segmentation of skin lesions in dermoscopic images is a challenging task
due to the presence of artifacts, small lesion sizes, and low contrast between lesions and …
due to the presence of artifacts, small lesion sizes, and low contrast between lesions and …
DTLNet: Deep Transfer Learning-based Hybrid Model for Skin Lesion Detection and Classification
Skin cancer is the one of the most common cancer due to the increment of radiation in
environment. Different types of skin cancer evolving every year, and it is challenging task for …
environment. Different types of skin cancer evolving every year, and it is challenging task for …
Classification for the P300-based brain computer interface (BCI)
An EEG-based brain computer interface (BCI) employs a system for immediate
communication between human and computer using brain activity. An important application …
communication between human and computer using brain activity. An important application …
An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM
Cancer is the group of many diseases. Among the groups of cancers, skin cancer is the most
common form. It makes skin grow in a disorganized manner and forms tumours. These …
common form. It makes skin grow in a disorganized manner and forms tumours. These …
[PDF][PDF] Skin lesion analysis: A state-of-the-art survey, systematic review, and future trends
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 …
A novel method for melanocytic skin lesion extraction and analysis
Identification and early detection of skin melanoma is a crucial step towards fatalities caused
due to skin melanoma. Computer vision techniques play an important role for detection and …
due to skin melanoma. Computer vision techniques play an important role for detection and …
MSPAN: Multi‐scale pyramid attention network for efficient skin cancer lesion segmentation
Skin cancer is common and deadly, needs to be detected and treated properly. Deep
learning algorithms like UNet have shown potential results in medical imaging. Such …
learning algorithms like UNet have shown potential results in medical imaging. Such …
Image analysis and diagnosis of skin diseases-a review
X Li, X Zhao, H Ma, B Xie - Current Medical Imaging, 2023 - ingentaconnect.com
Background: Skin disease image analysis has drawn extensive attention from researchers,
which can help doctors efficiently diagnose skin disease from medical images. Existing …
which can help doctors efficiently diagnose skin disease from medical images. Existing …