A Brief Survey on Feature Extraction Models for Brain Tumor Detection-Reference-Cited by-同舟云学术

A Brief Survey on Feature Extraction Models for Brain Tumor Detection

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
language:
Short-container-title:

Author:

Janapati Malathi¹,Akhtar Dr. Shaheda²

Affiliation:

1. Acharya Nagarjuna University,Dept. of Computer Science and Engineering,Guntur,India

2. Acharya Nagarjuna University,Lecturer in Computer Science, Government College for Women(A), Guntur and Research Supervisor,Dept. of Computer Science and Engineering,Guntur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073722.pdf?arnumber=10073722

Reference20 articles.

1. Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

2. A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM

3. A Technique for the Early Detection of Brain Cancer Using Circularly Polarized Reconfigurable Antenna Array

4. Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis

5. Multi-grade brain tumor classification using deep CNN with extensive data augmentation

Cited by 2 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. Imaging Modalities in Brain Cancer Detection and Diagnosis;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Advances in Feature Extraction for Brain Cancer Analysis: A Review of Traditional, Machine Learning, and Deep Learning Approaches;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28