Results 41 to 50 of about 1,461,442 (277)
Feature Learning and Boundary Guidance for Skin Lesion Image Segmentation Network [PDF]
Jisuanji gongchengSkin lesion images significantly affect the accuracy of segmentation algorithms because of characteristics such as blurred lesion boundaries, large variations in size, and irregular shapes.
LIU Menghan, LIU Li, FU Xiaodong, LIU Lijun, PENG Wei
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Skin Lesion Segmentation Based on Multi-Scale Attention Convolutional Neural Network
IEEE Access, 2020 The incidence of skin cancer around the world is increasing year by year. However, early diagnosis and treatment can greatly improve the survival rate of patients.
Yun Jiang +3 more
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Applied Sciences, 2022 Skin lesion classification has recently attracted significant attention. Regularly, physicians take much time to analyze the skin lesions because of the high similarity between these skin lesions.
Long Hoang +3 more
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Skin segmentation for robust face image analysis [PDF]
, 2008 This thesis presents novel techniques to address the challenge of outlier detection and removal in the context of face analysis from photographs. Given a face image, under arbitrary scene conditions, our goal is to automatically compute a binary map that
Pierrard, Jean-Sébastien
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Modified U-NET Architecture for Segmentation of Skin Lesion [PDF]
Sensors, 2022 Dermoscopy images can be classified more accurately if skin lesions or nodules are segmented. Because of their fuzzy borders, irregular boundaries, inter- and intra-class variances, and so on, nodule segmentation is a difficult task. For the segmentation of skin lesions from dermoscopic pictures, several algorithms have been developed.
Vatsala Anand +5 more
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Skin Lesions Classification and Segmentation: A Review [PDF]
International Journal of Advanced Computer Science and Applications, 2021 An automated intelligent system based on imaging input for unbiased diagnosis of skin-related diseases is an essential screening tool nowadays. This is because visual and manual analysis of skin lesion conditions based on images is a time-consuming process that puts a significant workload on health practitioners.
Marzuraikah Mohd Stofa +2 more
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ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020 Melanoma is one of the fastest spreading cancers. The aim of the article is to segment the skin lesions from human skin dermatoscopic images covered by melanoma. Threshold segmentation was used, which allows a single skin lesion to be analyzed.
Magdalena Michalska
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Research Review of Deep Learning in Skin Lesions Image Segmentation [PDF]
Jisuanji kexue yu tansuoSkin lesions exhibit a wide variety of types and complex clinical manifestations, ranging from benign conditions to malignant melanomas. Early detection and accurate segmentation of these lesions are critical for the diagnosis and treatment of skin ...
MENG Xiangfu, LI Jiaxun, YU Chunlin, LU Yunxuan
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Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features
IEEE Access, 2022 An automatic skin lesion segmentation algorithm not only facilitates the dermatologist’s workload on skin cancer analysis but also provides a platform for early cancer prediction. Over the years, several deep learning methods have been proposed to
Mohammad D. Alahmadi, Wajdi Alghamdi
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Automated seeding for ultrasound skin lesion segmentation
Ultrasonics, 2021 The segmentation of cancer-suspicious skin lesions using ultrasound may help their differential diagnosis and treatment planning. Active contour models (ACM) require an initial seed, which when manually chosen may cause variations in segmentation accuracy.
Péter, Marosán +5 more
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