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Improvised light weight deep CNN based U-Net for the semantic segmentation of lungs from chest X-rays

  • Published:2023-03 Issue: Volume:17 Page:100929
  • ISSN:2590-1230
  • Container-title:Results in Engineering
  • language:en
  • Short-container-title:Results in Engineering

Author:

Arvind S.,Tembhurne Jitendra V.ORCID,Diwan Tausif,Sahare Parul

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. Envision Radiology,2020

2. Diagnostic Imaging Dataset, Annual Statistical Release;NHS England,2016

3. Scan: structure correcting adversarial network for organ segmentation in chest x-rays;Wei,2018

4. FCN based label correction for multi-atlas guided organ segmentation;Hancan;Neuroinformatics,2020

5. Interactive medical image segmentation using deep learning with image-specific fine tuning;Guotai;IEEE Trans. Med. Imag.,2018

Cited by 7 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. Design of biosensor for synchronized identification of diabetes using deep learning;Results in Engineering;2023-12

2. Focal modulation network for lung segmentation in chest X-ray images;Turkish Journal of Electrical Engineering and Computer Sciences;2023-10-07

3. MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images;Bioengineering;2023-09-18

4. Detection of Lung Disease using Deep Learning Approaches;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

5. New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays;Evolving Systems;2023-07-29
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