Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors-Reference-Cited by-同舟云学术

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors

Author:

Vidyarthi Ankit¹^ORCID,Agarwal Ruchi²,Gupta Deepak³^ORCID,Sharma Rahul⁴^ORCID,Draheim Dirk⁴^ORCID,Tiwari Prayag⁵^ORCID

Affiliation:

1. Department of CSE and IT, Jaypee Institute of Information Technology, Noida, India

2. Department of CS, JIMS Engineering Management Technical Campus, Greater Noida, India

3. Department of CSE, Maharaja Agrasen Institute of Technology, Delhi, India

4. Information Systems Group, Tallinn University of Technology, Tallinn, Estonia

5. Department of Computer Science, Aalto University, Espoo, Finland

Funder

Academy of Finland

Business Finland

EU H2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference51 articles.

3. Brain tumor detection and classification based on hybrid ensemble classifier;garg;arXiv 2101 00216,2021

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2. From Pixels to Decisions: A Comprehensive Review of Brain Tumor Classification Techniques and Their Clinical Implications;2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC);2023-11-24

5. Brain Tumor Detection via Deep Learning Framework on MRI Images;2023 International Conference on Communication, Circuits, and Systems (IC3S);2023-05-26