A Convolutional Neuro-Fuzzy Network Using Fuzzy Image Segmentation for Acute Leukemia Classification-Reference-Cited by-同舟云学术

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A Convolutional Neuro-Fuzzy Network Using Fuzzy Image Segmentation for Acute Leukemia Classification

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 27th International Computer Conference, Computer Society of Iran (CSICC)
language:
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Author:

Boreiri Zahra¹,Azad Alireza Norouzi¹,Ghodousian Amin¹

Affiliation:

1. University of Tehran,Department of Engineering Science,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9780464/9780394/09780525.pdf?arnumber=9780525

Reference36 articles.

1. ANFIS: adaptive-network-based fuzzy inference system

2. Neurofuzzy Systems

3. Neuro-fuzzy Systems: A Short Historical Review

4. Machine Learning in Detection and Classification of Leukemia Using Smear Blood Images: A Systematic Review

5. Semi-supervised deep rule-based approach for image classification

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1. Automated segmentation of acute leukemia using blood and bone marrow smear images: a systematic review;Multimedia Tools and Applications;2024-02-24

2. Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction;SoutheastCon 2023;2023-04-01

3. Gaussian Blurring Technique for Detecting and Classifying Acute Lymphoblastic Leukemia Cancer Cells from Microscopic Biopsy Images;Life;2023-01-28

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