An edge-region force guided active shape approach for automatic lung field detection in chest radiographs

Author:

Xu Tao,Mandal Mrinal,Long Richard,Cheng Irene,Basu Anup

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Cited by 51 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. Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

2. Efficient Two Stage Segmentation Framework for Chest X-Ray Images With U-Net Model Fusion;IEEE Access;2024

3. CSR-NeT: lung segmentation from chest radiographs using transfer learning technique;Proceedings of the Indian National Science Academy;2023-12-19

4. Normalised Gradient Gaussian Filtering for Lung Field Segmentation in X-Ray Images and Snake Segmentation;2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE);2023-11-23

5. Masked image modeling-based boundary reconstruction for 3D medical image segmentation;Computers in Biology and Medicine;2023-11

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