A Non-Mitosis Reduction Method using Semantic Descriptors for Breast Cancer Mitosis Detection Application-Reference-Cited by-同舟云学术

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A Non-Mitosis Reduction Method using Semantic Descriptors for Breast Cancer Mitosis Detection Application

Published:2022-06-25 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)
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Author:

Min Lu Juei¹,Jian Tan Xiao²,Ab Rahman Khairul Shakir³,Hoe Teoh Leong¹,Hang Quah Yi¹,Yee Wong Chung¹,Yee Yip Sook²,Wan Muhamad Wan Zuki Azman⁴,Ling Teoh Chai¹

Affiliation:

1. Tunku Abdul Rahman University College (TARUC),Department of Electrical and Electronics Engineering,Kuala Lumpur,Malaysia

2. Tunku Abdul Rahman University College (TARUC),Centre for Multimodal Signal Processing,Department of Electrical and Electronics Engineering,Kuala Lumpur,Malaysia

3. Hospital Tuanku Fauziah,Department of Pathology,Perlis,Malaysia

4. Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP),Perlis,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9815264/9815267/09815478.pdf?arnumber=9815478

Reference19 articles.

1. MITOS-ATYPIA – dataset,2014

2. TUPAC – dataset,2016

3. Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization

4. Automatic detection of breast cancer mitotic cells based on the combination of textural, statistical and innovative mathematical features

5. Maximized Inter-Class Weighted Mean for Fast and Accurate Mitosis Cells Detection in Breast Cancer Histopathology Images

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