Liver Tumour Parameter Prediction Using Feature Extraction and Supervised Function-Reference-Cited by-同舟云学术

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Liver Tumour Parameter Prediction Using Feature Extraction and Supervised Function

Published:2023-12-29 Issue: Volume:119 Page:1-5
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Kumar Ankit¹,Singh Kamred Udham²,Singh Teekam³,Banu Nargis⁴,Rathore Yogesh Kumar⁵,Pandey Saroj Kumar¹

Affiliation:

1. GLA University,Department of Computer Engineering, & Apllications,Mathura,UP,India

2. School of Computing, Graphic Era Hill University,Dehradun,India

3. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun

4. Geetanjali Institute of Technical Studies,Dabok,Udaipur

5. Department of CSE, SSIPMTechnology,Raipur (CG),India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489663.pdf?arnumber=10489663

Reference16 articles.

1. An efficient framework for liver disease classification using feature extraction and feature selection technique in data mining;Kavitha;IEEE Xplore:,2016

2. Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data

3. Liver Tumor Detection Using Neural Network Classifier;Gopal;International Journal of Pure and Applied Mathematics,2018

4. Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images

5. Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images

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