[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 …
Skin disease diagnosis with deep learning: A review
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
High-level prior-based loss functions for medical image segmentation: A survey
Today, deep convolutional neural networks (CNNs) have demonstrated state of the art
performance for supervised medical image segmentation, across various imaging modalities …
performance for supervised medical image segmentation, across various imaging modalities …
Deep learning and optimization-based methods for skin lesions segmentation: a review
Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …
decrease the encumbrance of this widespread disease. Researchers have been more …
Matthews correlation coefficient loss for deep convolutional networks: Application to skin lesion segmentation
K Abhishek, G Hamarneh - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org
The segmentation of skin lesions is a crucial task in clinical decision support systems for the
computer aided diagnosis of skin lesions. Although deep learning-based approaches have …
computer aided diagnosis of skin lesions. Although deep learning-based approaches have …
DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation
Automatic skin lesion segmentation is one of the most important tasks for computer-aided
diagnosis of skin cancer. Although many deep learning-based methods have been …
diagnosis of skin cancer. Although many deep learning-based methods have been …
Dermoscopic image segmentation based on pyramid residual attention module
Y Jiang, T Cheng, J Dong, J Liang, Y Zhang, X Lin… - Plos one, 2022 - journals.plos.org
We propose a stacked convolutional neural network incorporating a novel and efficient
pyramid residual attention (PRA) module for the task of automatic segmentation of …
pyramid residual attention (PRA) module for the task of automatic segmentation of …
High-level prior-based loss functions for medical image segmentation: A survey
Today, deep convolutional neural networks (CNNs) have demonstrated state of the art
performance for supervised medical image segmentation, across various imaging modalities …
performance for supervised medical image segmentation, across various imaging modalities …
JAAL-Net: a joint attention and adversarial learning network for skin lesion segmentation
S Xiong, L Pan, Q Lei, J Ma, W Shao… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Skin lesion segmentation plays an important role in the diagnosis and treatment
of melanoma. Existing skin lesion segmentation methods have trouble distinguishing hairs …
of melanoma. Existing skin lesion segmentation methods have trouble distinguishing hairs …