Results 191 to 200 of about 556 (209)
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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation

Journal of Imaging Informatics in Medicine
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion images, available to specialists, is not retrievable by machine learning. While skin lesion images generally
Norsang Lama   +7 more
openaire   +2 more sources

Advancements in Semantic Skin Lesion Segmentation: A Comparative Study with YOLOv8 for Accurate Skin Lesion Segmentation

2023 Global Conference on Information Technologies and Communications (GCITC), 2023
Vishnudeep M R   +2 more
openaire   +1 more source

Feature Fusion for Segmentation and Classification of Skin Lesions

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022
Yue Zhang   +4 more
openaire   +1 more source

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

Medical Image Analysis, 2022
Huisi Wu, Baiying Lei, Zhenkun Wen
exaly  

Skin Lesion Classification Based on Segmented Image

2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2023
Aleksandra Dzieniszewska   +2 more
openaire   +1 more source

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation

Applied Soft Computing Journal, 2021
Ran Su, Changming Sun, Hui Cui
exaly  

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

IEEE Transactions on Medical Imaging, 2020
Yong Xia, Yutong Xie, Chunhua Shen
exaly  

A survey, review, and future trends of skin lesion segmentation and classification

Computers in Biology and Medicine, 2023
Md Kamrul Hasan, Choon Hwai Yap
exaly  

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