ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images

Author:

Lama Norsang,Kasmi Reda,Hagerty Jason R.,Stanley R. JoeORCID,Young Reagan,Miinch Jessica,Nepal Januka,Nambisan Anand,Stoecker William V.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic?;Journal of Investigative Dermatology;2024-07

2. Automated Hair Segmentation in Dermoscopy Images with U-Net Based Approaches;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

3. Analysing Several Hair and Noise Removal Techniques on a Skin Lesion during the Preprocessing Stage;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

4. LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation;Journal of Imaging Informatics in Medicine;2024-02-26

5. Hair cluster detection model based on dermoscopic images;Frontiers in Physics;2024-02-14

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