Effect of Feature selection on the performance of Liver Tumor classification using Neural Networks-Reference-Cited by-同舟云学术

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Effect of Feature selection on the performance of Liver Tumor classification using Neural Networks

Published:2021-12-16 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)
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Author:

Rela Munipraveena¹,Suryakari Nagaraja Rao²,Reddy P. Ramana³

Affiliation:

1. Jawaharlal Nehru Technological University Ananthapuramu,Department of ECE,Ananthapur,A P,India

2. G. Pulla Reddy Engineering College (Autonomous),Department of ECE,Kurnool,A P,India

3. JNTUA College of Engineering (Autonomous) Ananthapuramu,Department of ECE,Kurnool,A P,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688564/9689221/09689266.pdf?arnumber=9689266

Reference14 articles.

1. Computer aided diagnosis system developed for ultrasound diagnosis of liver lesions using deep learning

2. Computer-aided diagnosis for feature selection and classification of liver tumors in computed tomography images

3. Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features

4. Focal liver lesions segmentation and classification in nonenhanced T2-weighted MRI

Cited by 1 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. Liver Tumor Segmentation and Classification Using Deep Learning;2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT);2023-02-22

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