Results 21 to 30 of about 1,461,442 (277)
Boundary-Aware Transformers for Skin Lesion Segmentation [PDF]
, 2021 Skin lesion segmentation from dermoscopy images is of great importance for improving the quantitative analysis of skin cancer. However, the automatic segmentation of melanoma is a very challenging task owing to the large variation of melanoma and ambiguous boundaries of lesion areas.
Jiacheng Wang 0002 +5 more
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Skin Lesion Segmentation in Dermoscopy Imagery
The International Arab Journal of Information Technology, 2022 The main purpose of this study is to find an optimum method for segmentation of skin lesion images. In the present world, Skin cancer has proved to be the most deadly disease. The present research paper has developed a model which encompasses two gradations, the first being pre-processing for the reduction of unwanted artefacts like hair, illumination ...
Shelly Garg, Jindal Balkrishan
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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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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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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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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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Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
Diagnostics, 2023 Skin lesions are essential for the early detection and management of a number of dermatological disorders. Learning-based methods for skin lesion analysis have drawn much attention lately because of improvements in computer vision and machine learning ...
Taye Girma Debelee
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MFSNet: A multi focus segmentation network for skin lesion segmentation
Pattern Recognition, 2022 Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis. Skin cancer is one of the most common types of cancer globally, and its early diagnosis is pivotal for the complete elimination of malignant tumors from the body. This research
Hritam Basak, Rohit Kundu, Ram Sarkar
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Depth data improves non-melanoma skin lesion segmentation and diagnosis [PDF]
, 2012 Examining surface shape appearance by touching and observing a lesion from different points of view is a part of the clinical process for skin lesion diagnosis.
Li, Xiang
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Melanoma segmentation using deep learning with test-time augmentations and conditional random fields
Scientific Reports, 2022 In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging.
Hassan Ashraf +4 more
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