Results 1 to 10 of about 407 (67)
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
IEEE Access, 2020 Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of computerised analysis for skin lesions.
Manu Goyal +4 more
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Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm
Diagnostics, 2019 Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin cancer by computerized systems. However, automatic segmentation of skin lesions in dermoscopic images is a challenging task owing to difficulties including artifacts
Halil Murat Ünver, Enes Ayan
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Skin Lesion Segmentation Using Deep Learning with Auxiliary Task
Journal of Imaging, 2021 Skin lesion segmentation is a primary step for skin lesion analysis, which can benefit the subsequent classification task. It is a challenging task since the boundaries of pigment regions may be fuzzy and the entire lesion may share a similar color ...
Lina Liu, Ying Y. Tsui, Mrinal Mandal
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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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A Collaborative Learning Model for Skin Lesion Segmentation and Classification
Diagnostics, 2023 The automatic segmentation and classification of skin lesions are two essential tasks in computer-aided skin cancer diagnosis. Segmentation aims to detect the location and boundary of the skin lesion area, while classification is used to evaluate the ...
Ying Wang, Jie Su, Qiuyu Xu, Yixin Zhong
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Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method [PDF]
Engineering and Technology Journal, 2019 Automatic skin lesion segmentation on skin images is an essential component in diagnosing skin cancer. Image de-noising in skin cancer lesion is a description of processing image which refers to image restoration techniques to develop an image in ...
Hadeel Abdullah, Hala Abduljaleel
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Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review
IEEE Access, 2023 Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to decrease the encumbrance of this widespread disease.
Khalid M. Hosny +4 more
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PLoS ONE, 2022 The effective segmentation of lesion(s) from dermoscopic skin images assists the Computer-Aided Diagnosis (CAD) systems in improving the diagnosing rate of skin cancer.
Mohibur Rehman +7 more
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Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions
IET Image Processing, 2023 Automatic skin lesion segmentation is the most critical and relevant task in computer‐aided skin cancer diagnosis. Methods based on convolutional neural networks (CNNs) are mainly used in current skin lesion segmentation.
Zaid Al‐Huda +4 more
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IET Image Processing, 2023 Accurate segmentation of the skin lesion region is crucial for diagnosing and screening skin diseases. However, skin lesion segmentation is challenging due to the indistinguishable boundaries of the lesion region, irregular shapes and hair interference ...
Yun Jiang +5 more
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