Improvised light weight deep CNN based U-Net for the semantic segmentation of lungs from chest X-rays-Reference-Cited by-同舟云学术

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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

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