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5 Result(s)

within **ting Jiang Remove this filter Computer Science Remove this filter Artificial Intelligence Remove this filter Computational Biology/Bioinformatics Remove this filter Pattern Recognition Remove this filter

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  1. No Access

    Chapter and Conference Paper

    Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference

    Automatic segmentation of hepatocellular carcinoma (HCC) in Digital Subtraction Angiography (DSA) videos can assist radiologists in efficient diagnosis of HCC and accurate evaluation of tumors in clinical prac...

    Wenting Jiang, Yicheng Jiang, Lu Zhang… in Medical Image Computing and Computer Assis… (2021)

  2. No Access

    Chapter and Conference Paper

    Multi-level Relationship Capture Network for Automated Skin Lesion Recognition

    Automated skin lesion recognition of dermoscopy images is effective for improving diagnostic performance. Current popular solutions either leverage a single image to learn better feature representations or tak...

    Zihao Liu, Ruiqin **ong, Tingting Jiang in Medical Image Computing and Computer Assis… (2021)

  3. No Access

    Chapter and Conference Paper

    Clinical-Inspired Network for Skin Lesion Recognition

    Automated skin lesion recognition methods are useful for improving the diagnostic accuracy in dermoscopy images. However, several challenges delayed the pace of the development of these methods, including limi...

    Zihao Liu, Ruiqin **ong, Tingting Jiang in Medical Image Computing and Computer Assis… (2020)

  4. No Access

    Chapter and Conference Paper

    Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

    Surgical instrument segmentation is a key component in develo** context-aware operating rooms. Existing works on this task heavily rely on the supervision of a large amount of labeled data, which involve lab...

    Daochang Liu, Yuhui Wei, Tingting Jiang… in Medical Image Computing and Computer Assis… (2020)

  5. No Access

    Chapter and Conference Paper

    Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images

    Automated skin lesion segmentation is essential to assist doctors in diagnosis. Most methods focus on lesion segmentation of dermoscopy images, while a few focus on clinical images. Nearly all the existing met...

    Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan… in Medical Image Computing and Computer Assis… (2020)