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3 Result(s)

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  1. No Access

    Chapter and Conference Paper

    PolypDEQ: Towards Effective Transformer-Based Deep Equilibrium Models for Colon Polyp Segmentation

    Recent neural networks have shown impressive performance in computer vision tasks. However, these models mainly focus on designing deep architectures and strongly depend on the architectures themselves. This p...

    Nguyen Minh Chau, Le Truong Giang, Dinh Viet Sang in Advances in Visual Computing (2022)

  2. No Access

    Chapter and Conference Paper

    GCEENet: A Global Context Enhancement and Exploitation for Medical Image Segmentation

    Despite advancements in deep learning and computer vision, medical image segmentation is still a challenging problem. A major challenge for many segmentation models is the inherent complexity and inter-connect...

    Nguyen Tuan Hung, Phan Ngoc Lan, Nguyen Thi Oanh… in Advances in Visual Computing (2022)

  3. No Access

    Chapter and Conference Paper

    NeoUNet : Towards Accurate Colon Polyp Segmentation and Neoplasm Detection

    Automatic polyp segmentation has proven to be immensely helpful for endoscopy procedures, reducing the missing rate of adenoma detection for endoscopists while increasing efficiency. However, classifying a pol...

    Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long… in Advances in Visual Computing (2021)