A Breast Density Classification System for Mammography Considering Reliability Issues in Deep Learning

ISSN Print: 2164-2788
ISSN Online: 2164-2796
www.scirp.net/journal/ojmi
E-mail: [email protected]

Citations

"A Breast Density Classification System for Mammography Considering Reliability Issues in Deep Learning"
written by Eri Matsuyama, Megumi Takehara, Noriyuki Takahashi, Haruyuki Watanabe,
published by Open Journal of Medical Imaging, Vol.13 No.3, 2023

has been cited by the following article(s):

[1]	An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms
	2023 7th International …, 2023

[1]	Intelligent Decision Technologies Smart Innovation, Systems and Technologies, 2025 DOI:10.1007/978-981-97-7419-7_17

[2]	Breast Density Classification Using Convolutional Neural Networks and Analysis of the CLAHE Technique Anais do XV Workshop de Sistemas de Informação (WSIS 2024), 2024 DOI:10.5753/wsis.2024.33673

[3]	An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2023 DOI:10.1109/ISMSIT58785.2023.10304947