An machine learning based Comparative Analysis of Various Feature Extraction Methods for Improved Prediction Accuracy of Breast Cancer CT Scan Images-Reference-Cited by-同舟云学术

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An machine learning based Comparative Analysis of Various Feature Extraction Methods for Improved Prediction Accuracy of Breast Cancer CT Scan Images

Published:2024-04-24 Issue: Volume:111 Page:82-87
ISSN:
Container-title:2024 International Conference on Inventive Computation Technologies (ICICT)
language:
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Author:

Adusumalli Balaji¹,Lakshmi T.R. Vijaya²,Gunasundari C.³,Devi S. Gayathri⁴,M Rajendiran⁵,Maranan Ramya⁶

Affiliation:

1. Chalapathi Institute of Engineering and Technology College,Department of Computer Science and Engineering,Guntur,Andhra Pradesh,India

2. Mahatma Gandhi Institute of Technology,Department of Electronics and Communication Engineering,Hyderabad,Telangana,India

3. Roever Engineering College,Department of Computer Science and Engineering,Perambalur,Tamil Nadu,India

4. Sri Ramakrishna Institute of Technology,Department of Computer Science and Engineering(AIE),Coimbatore,Tamil Nadu,India

5. Panimalar Engineering College,Department of Computer Science And Engineering,Poonamallee, Chennai,Tamil Nadu,India

6. Saveetha School of Engineering, SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543255/10544376/10544678.pdf?arnumber=10544678

Reference15 articles.

1. Physicochemical characterization, in vitro and in vivo evaluation of chitosan/carrageenan encumbered with Imatinib mesylate-polysarcosine nanoparticles for sustained drug release and enhanced colorectal cancer targeted therapy

2. Integration of Machine Learning and Blockchain Technology in the Healthcare Field: A Literature Review and Implications for Cancer Care

3. Lazertinib improves the efficacy of chemotherapeutic drugs in ABCB1 or ABCG2 overexpression cancer cells in vitro, in vivo, and ex vivo

4. Graviola: A novel promising natural-derived drug that inhibits tumorigenicity and metastasis of pancreatic cancer cells in vitro and in vivo through altering cell metabolism

5. The extracellular matrix in colorectal cancer and its metastatic settling – Alterations and biological implications

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