Enhancing Deep Learning Models for Brain Tumor Detection: The Impact of Activation Function Selection-Reference-Cited by-同舟云学术

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Enhancing Deep Learning Models for Brain Tumor Detection: The Impact of Activation Function Selection

Published:2024-06-11 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)
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Author:

Nasayreh Ahmad¹,Jaradat Ameera S.¹,Al Mamlook Rabia Emhamed²,Bashkami Ayah³,Gharaibeh Hasan¹,Al-Na'amneh Qais⁴,Bzizi Hanin⁵

Affiliation:

1. Yarmouk University,dept. of Computer Science,Irbid,Jordan

2. Trine University,dept.of Business Administration,Indiana,USA

3. Al Balqa Applied University,dept. of Medical Laboratory Sciences,Salt,Jordan

4. Applied Science Private University,dept. of Cyber Security,Amman,Jordan

5. Westren Michigan University,dept. of Medical Science,Michigan,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602772/10602732/10602951.pdf?arnumber=10602951

Reference20 articles.

1. Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM

2. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods

3. MRI Fuzzy Segmentation of Brain Tissue Using Neighborhood Attraction With Neural-Network Optimization

4. Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

5. Classification Of Cancer Genome Atlas Glioblastoma Multiform (TCGA-GBM) Using Machine Learning Method

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