Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images
Author:
Affiliation:
1. National Institute of Technology Silchar,Bio-Medical Imaging Laboratory (BIOMIL),Dept. of ECE,Silchar,Assam, 788010,India
2. National Institute of Technology Silchar,Department of Computer Science Engineering,Silchar,Assam, 788010,India
Funder
Science and Engineering Research Board
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9707904/9707905/09708190.pdf?arnumber=9708190
Reference23 articles.
1. GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets
2. Automatic Lung Segmentation on Thoracic CT Scans Using U-Net Convolutional Network
3. Double U-Nets for Image Segmentation by Integrating the Region and Boundary Information
4. Hybrid Automatic Lung Segmentation on Chest CT Scans
5. Liver segmentation with 2.5D perpendicular UNets
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