Results 21 to 30 of about 556 (209)
Skin Lesion Segmentation Using Recurrent Attentional Convolutional Networks
IEEE Access, 2022 Accurate segmentation of lesion region from skin lesion images can provide guidance for medical experts to make an early diagnosis of skin cancer. In this study, we construct Recurrent Attentional Convolutional Networks (O-Net), which exploits the skin ...
Peng Chen, Sa Huang, Qing Yue
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International Journal of Interactive Multimedia and Artificial Intelligence, 2020 Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering using non-dermoscopic images has ...
Salam Shuleenda Devi +2 more
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SKIN LESION SEGMENTATION BY PIXEL BY PIXEL APPROACH USING DEEP LEARNING
International Journal of Advances in Signal and Image Sciences, 2020 Skin lesion segmentation is an imperative step for image analysis and visualization task. Manual segmentation by an expert operator is too time-consuming and its accuracy may be degraded by different human operators.
Shekaina Justin, Manjula Pattnaik
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Depth Data Improves Skin Lesion Segmentation [PDF]
, 2009 This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A region-based active contour segmentation approach using a statistical model based on the level-set framework is presented. We consider what kinds of properties (e.g., colour, depth, texture) are most discriminative.
Li, Xiang +4 more
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Skin Lesion Segmentation Using Image Bit-Plane Multilayer Approach
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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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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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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