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 …
Skin lesion segmentation via generative adversarial networks with dual discriminators
Skin lesion segmentation from dermoscopy images is a fundamental yet challenging task in
the computer-aided skin diagnosis system due to the large variations in terms of their views …
the computer-aided skin diagnosis system due to the large variations in terms of their views …
Machine meets biology: a primer on artificial intelligence in cardiology and cardiac imaging
ME Dilsizian, EL Siegel - Current cardiology reports, 2018 - Springer
Abstract Purpose of Review An understanding of the basics concepts of deep learning can
be helpful in not only understanding the potential applications of this technique but also in …
be helpful in not only understanding the potential applications of this technique but also in …
Skin lesion segmentation using high-resolution convolutional neural network
F **e, J Yang, J Liu, Z Jiang, Y Zheng… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Skin lesion segmentation is an important but
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks
Y Yuan, YC Lo - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
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 …
Automated skin lesion segmentation using attention-based deep convolutional neural network
Edge detection for dermoscopic images has always been a crucial task for automatic lesion
delineation processes. A skin lesion is an area of the skin that takes the form an abnormal …
delineation processes. A skin lesion is an area of the skin that takes the form an abnormal …
Bi-directional dermoscopic feature learning and multi-scale consistent decision fusion for skin lesion segmentation
Accurate segmentation of skin lesion from dermoscopic images is a crucial part of computer-
aided diagnosis of melanoma. It is challenging due to the fact that dermoscopic images from …
aided diagnosis of melanoma. It is challenging due to the fact that dermoscopic images from …
Early detection of skin cancer using melanoma segmentation technique
The significance of pattern recognition techniques is widely enhanced in image processing
and medical applications. Thus, lesion segmentation method is an essential technique of …
and medical applications. Thus, lesion segmentation method is an essential technique of …
Unsupervised skin lesion segmentation via structural entropy minimization on multi-scale superpixel graphs
Skin lesion segmentation is a fundamental task in dermoscopic image analysis. The
complex features of pixels in the lesion region impede the lesion segmentation accuracy …
complex features of pixels in the lesion region impede the lesion segmentation accuracy …