Results 171 to 180 of about 556 (209)
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Skin Lesion Segmentation with C-UNet
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019Malignant melanoma is one of the leading cancers around the world. It is critical to timely diagnose and treat melanoma to improve patient survival. This paper proposes a deep learning model C-UNet for skin lesion segmentation. The C-UNet incorporates the Inception-like convolutional block, the recurrent convolutional block and dilated convolutional ...
Junyan Wu +5 more
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Border preserving skin lesion segmentation
SPIE Proceedings, 2008Melanoma is a fatal cancer with a growing incident rate. However it could be cured if diagnosed in early stages. The first step in detecting melanoma is the separation of skin lesion from healthy skin. There are particular features associated with a malignant lesion whose successful detection relies upon accurately extracted borders.
Mostafa Kamali, Golnoosh Samei
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Deep learning for skin lesion segmentation
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017Melanomas are the most aggressive form of skin cancer. Due to observer bias, computerized analysis of dermoscopy images has become an important research area. One of the most important steps in dermoscopy image analysis is the automated detection of lesion areas in the dermoscopy images.
Rashika Mishra, Ovidiu Daescu
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Skin lesion segmentation with deep learning
IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 2019Skin lesion segmentation is an important process in skin diagnostics because it improves manual and computeraided diagnostics by focusing the medical personnel on specific parts of the skin. Image segmentation is a common task in computer vision that partitions a digital image into multiple segments, for which deep neural networks have been proven to ...
Jane Lameski +4 more
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Serial attention network for skin lesion segmentation
Journal of Ambient Intelligence and Humanized Computing, 2021Due to the influence of color, boundaries, and shapes of melanoma, the segmentation of the lesion area is still a challenging problem. In this paper, we propose a method to connect two attention modules (channel attention and spatial attention) serially and embed them into the skip connection of the encoder–decoder network. Different from previous work
Yuan Ren +5 more
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Directional Vector-Based Skin Lesion Segmentation — A Novel Approach to Skin Segmentation
International Journal of Image and Graphics, 2020Efficient skin lesion segmentation algorithms are required for computer aided diagnosis of skin cancer. Several algorithms were proposed for skin lesion segmentation. The existing algorithms are short of achieving ideal performance. In this paper, a novel semi-automatic segmentation algorithm is proposed.
P. Nikesh, G. Raju 0001
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Skin Lesion Segmentation Based on Deep Learning
2020 IEEE 20th International Conference on Communication Technology (ICCT), 2020The precise segmentation of the skin pathology area plays an important role in the determination of the skin disease type. This paper proposed the method in Deep learning, Mask R-CNN, to segment skin diseases, and introduced K-means clustering algorithm in the pre-processing of the data set.
Cheng Huang, Yongbin Yu 0001, Minhui Qi
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Accurate Segmentation and Registration of Skin Lesion Images to Evaluate Lesion Change
IEEE Journal of Biomedical and Health Informatics, 2019 Skin cancer is a major health problem. There are several techniques to help diagnose skin lesions from a captured image. Computer-aided diagnosis (CAD) systems operate on single images of skin lesions, extracting lesion features to further classify them and help the specialists.
Jesus Bescós +2 more
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Automatic skin lesion segmentation
2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), 2017In the modern world, cancer has increasingly become a health problem. It has been listed as the first three disease among the ‘cause-known deaths’ in our country. Malignant Melanoma, one of the skin cancer types, is the cause of 75% of all skin cancer related deaths even though it is 4% of all skin cancer cases.
Haydar Ozkan +3 more
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A Skin Lesion Semi-supervised Segmentation Method
2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020The skin is an essential system for the human body, also the most susceptible to diseases. The diagnosis of these diseases is made mainly through dermatoscopy images, a noninvasive procedure. This paper presents a semi-automatic method that can assist the physician in monitoring the skin lesion's evolution.
Elineide Silva Dos Santos +5 more
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