Generative adversarial networks based skin lesion segmentation [PDF]
Scientific Reports, 2023 Skin cancer is a serious condition that requires accurate diagnosis and treatment. One way to assist clinicians in this task is using computer-aided diagnosis tools that automatically segment skin lesions from dermoscopic images.
Shubham Innani +7 more
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Improving Skin Lesion Segmentation with Self-Training. [PDF]
Cancers (Basel)Skin lesion segmentation plays a key role in the diagnosis of skin cancer; it can be a component in both traditional algorithms and end-to-end approaches.
Dzieniszewska A +2 more
europepmc +4 more sources
Skin Lesion Segmentation Using Image Bit-Plane Multilayer Approach [PDF]
Applied Sciences, 2020 The establishment of automatic diagnostic systems able to detect and classify skin lesions at the initial stage are getting really relevant and effective in providing support for medical personnel during clinical assessment.
Maria Rizzi, Cataldo Guaragnella
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Residual refinement for interactive skin lesion segmentation [PDF]
Journal of Biomedical Semantics, 2021 Background Image segmentation is a difficult and classic problem. It has a wide range of applications, one of which is skin lesion segmentation. Numerous researchers have made great efforts to tackle the problem, yet there is still no universal method in
Dalei Jiang +7 more
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Deep neural network-based robust framework for automated skin lesion segmentation and analysis [PDF]
Digital HealthBackground Skin lesion segmentation plays a critical role in computer-aided diagnosis systems, serving as a foundation for the early detection and treatment of skin cancer.
Khlood M Mehdar +9 more
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HDS-Net: Achieving fine-grained skin lesion segmentation using hybrid encoding and dynamic sparse attention. [PDF]
PLoS ONESkin cancer is one of the most common malignant tumors worldwide, and early detection is crucial for improving its cure rate. In the field of medical imaging, accurate segmentation of lesion areas within skin images is essential for precise diagnosis and
You Xue, Xinya Chen, Pei Liu, Xiaoyi Lv
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Unsupervised sub-segmentation for pigmented skin lesions
Skin Research and Technology, 2011 Background: Early identification of malignant melanoma with the surgical removal of thin lesions is the most effective treatment for skin cancers. A computer-aided diagnostic system assists to improve the diagnostic accuracy, where segmenting lesion from
Liu, Zhao +9 more
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An Evaluation of Skin Lesion Segmentation Using Deep Learning Architectures
Sakarya University Journal of Computer and Information SciencesSkin lesion segmentation for recognizing and defining the boundaries of skin lesions in images is proper for automated analysis of skin lesion images, especially for the early diagnosis and detection of skin cancers.
Rabia Öztaş Kara +4 more
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CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation [PDF]
iScienceSummary: Automatically and accurately segmenting skin lesions can be challenging, due to factors such as low contrast and fuzzy boundaries. This paper proposes a hybrid encoder-decoder model (CTH-Net) based on convolutional neural network (CNN) and ...
Yuhan Ding +6 more
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Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation [PDF]
Компьютерная оптика, 2021 Melanoma skin cancer is one of the most dangerous forms of skin cancer because it grows fast and causes most of the skin cancer deaths. Hence, early detection is a very important task to treat melanoma.
Dang N.H. Thanh +4 more
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