A Collaborative Learning Model for Skin Lesion Segmentation and Classification [PDF]
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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SL-HarDNet: Skin lesion segmentation with HarDNet [PDF]
Frontiers in Bioengineering and Biotechnology, 2023 Automatic segmentation of skin lesions from dermoscopy is of great significance for the early diagnosis of skin cancer. However, due to the complexity and fuzzy boundary of skin lesions, automatic segmentation of skin lesions is a challenging task.
Ruifeng Bai, Ruifeng Bai, Mingwei Zhou
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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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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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Lightweight Unet with depthwise separable convolution for skin lesion segmentation [PDF]
Scientific ReportsAccurate segmentation of skin lesions is crucial for the early diagnosis of skin diseases, as clear lesion boundaries facilitate the comprehensive extraction of lesion features.
Yong Li, Bosheng Hu, Xia Wang, Kun Liu
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DMFF-Net: a multi-scale feature fusion network based on DeepLabV3 for skin lesion segmentation [PDF]
Frontiers in MedicineObjectiveIn computer-aided medical diagnosis, precise skin lesion segmentation is crucial for the early detection and treatment of skin cancer. However, challenges such as unclear lesion boundaries, low contrast, and varying lesion shapes make accurate ...
Tao Jiang +7 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 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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ARCUNet: enhancing skin lesion segmentation with residual convolutions and attention mechanisms for improved accuracy and robustness [PDF]
Scientific ReportsSkin lesion segmentation presents significant challenges due to the high variability in lesion size, shape, color, and texture and the presence of artifacts like hair, shadows, and reflections, which complicate accurate boundary delineation.
Tanishq Soni +6 more
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Attention-based dual-path feature fusion network for automatic skin lesion segmentation [PDF]
BioData Mining, 2023 Automatic segmentation of skin lesions is a critical step in Computer Aided Diagnosis (CAD) of melanoma. However, due to the blurring of the lesion boundary, uneven color distribution, and low image contrast, resulting in poor segmentation result. Aiming
Zhenxiang He +4 more
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