Rethinking Boundary Detection in Deep Learning Models for Medical Image
Segmentation

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation

1 May 2023

Kwang-Ting Cheng

Hao Chen

Papers citing "Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation"

7 / 7 papers shown

Title
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation Yi Lin Dong Zhang X. B. Fang Yufan Chen K.-T. Cheng Hao Chen 38 0 0 06 May 2025
Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer Y. Huang Tomo Miyazaki Xiaofeng Liu Kaiyuan Jiang Zhengmi Tang S. Omachi MedIm 38 1 0 27 Dec 2023
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion Xin You Ming Ding Minghui Zhang Hanxiao Zhang Yi Yu Jie Yang Yun Gu 59 1 0 13 Dec 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation Yi Lin Xiao Fang Dong Zhang Kwang-Ting Cheng Hao Chen MedIm 35 3 0 23 Mar 2023
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 111 670 0 24 Jan 2022
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network Yi Lin Jianchao Su Xiang-Bin Wang Xiang-Yang Li Jingen Liu K. Cheng Xin Yang 41 14 0 10 Nov 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 98 179 0 15 Sep 2021