[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 …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
ULFAC-Net: Ultra-lightweight fully asymmetric convolutional network for skin lesion segmentation
Y Ma, L Wu, Y Gao, F Gao, J Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Segmentation of skin lesions is a critical step in the process of skin lesion diagnosis. Such
segmentation is challenging due to the irregular shape, fuzzy contours and severe noise …
segmentation is challenging due to the irregular shape, fuzzy contours and severe noise …
Attention mechanisms in medical image segmentation: A survey
Medical image segmentation plays an important role in computer-aided diagnosis. Attention
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
MSeg‐Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy K‐Means Clustering
Melanoma is a dangerous form of skin cancer that results in the demise of patients at the
developed stage. Researchers have attempted to develop automated systems for the timely …
developed stage. Researchers have attempted to develop automated systems for the timely …
Segmentation of skin lesions using U-Net with efficientNetB7 backbone
Skin cancer is one of the most common types of cancer worldwide. Early diagnosis of
malignant skin cancer is important in terms of removing the tumor completely from the body …
malignant skin cancer is important in terms of removing the tumor completely from the body …
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 …