[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 …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
Dense deconvolutional network for skin lesion segmentation
Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the
process of diagnosis and treatment of skin lesions. However, it is a challenging task due to …
process of diagnosis and treatment of skin lesions. However, it is a challenging task due to …
A refinement network embedded with attention mechanism for computer vision based post-earthquake inspections of railway viaduct
J Wang, Y Lei, X Yang, F Zhang - Engineering Structures, 2023 - Elsevier
Post-earthquake inspection of structures based on computer vision is developing rapidly
due to the advantages of high efficiency and without manual feature extraction. However, it …
due to the advantages of high efficiency and without manual feature extraction. However, it …
Deep ear recognition pipeline
Ear recognition has seen multiple improvements in recent years and still remains very active
today. However, it has been approached from recognition and detection perspective …
today. However, it has been approached from recognition and detection perspective …
Skin lesion segmentation using local binary convolution-deconvolution architecture
Deep learning techniques such as Deep Convolutional Networks have achieved great
success in skin lesion segmentation towards melanoma detection. The performance is …
success in skin lesion segmentation towards melanoma detection. The performance is …
Supervised versus unsupervised deep learning based methods for skin lesion segmentation in dermoscopy images
Image segmentation is considered a crucial step in automatic dermoscopic image analysis
as it affects the accuracy of subsequent steps. The huge progress in deep learning has …
as it affects the accuracy of subsequent steps. The huge progress in deep learning has …
Deta-net: A dual encoder network with text-guided attention mechanism for skin-lesions segmentation
C Shen, X Wang, J Tang, Z Liao - International Conference on Intelligent …, 2023 - Springer
Skin-lesions segmentation plays a prominent role in computer-aided diagnosis systems for
skin cancer, especially the remarkable success of the convolutional neural network (CNN) …
skin cancer, especially the remarkable success of the convolutional neural network (CNN) …
TrUNet: Dual-branch network by fusing CNN and Transformer for skin lesion segmentation
W Chen, Q Mu, J Qi - IEEE Access, 2024 - ieeexplore.ieee.org
In the medical field, precise segmentation of skin lesion areas is essential for accurate
diagnosis and treatment of diseases. Due to the varied morphologies and fuzzy boundaries …
diagnosis and treatment of diseases. Due to the varied morphologies and fuzzy boundaries …
Skin lesion analysis: A state-of-the-art survey, systematic review, and future trends
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 cost of skin …
emerging field of research that has the potential to alleviate the burden and cost of skin …