Fully Automated Spleen Segmentation in Patients using Convolutional Neural Network on CT Images-Reference-Cited by-同舟云学术

Fully Automated Spleen Segmentation in Patients using Convolutional Neural Network on CT Images

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Ramkumar G.¹,Prabu R. Thandaiah¹,Anitha G¹,Mohanavel V.²,Tamilselvi M.³

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Electronics and Communication Engineering,Thandalam, Chennai,602105

2. Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Hig her Education and Research,Chennai,Tamil Nadu,India,600073

3. SRM Institute of Science and Technology, Ramapuram Campus,Department of Electronics and Communication,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987387.pdf?arnumber=9987387

Reference14 articles.

1. Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning

2. Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen

3. A large annotated medical image dataset for the development and evaluation of segmentation algorithms;simpson;arXiv 2019 arXiv 1902 0906,0

4. Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline

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