Breast Lesions Screening of Mammographic Images with 2D Spatial and 1D Convolutional Neural Network-Based Classifier

Breast Lesions Screening of Mammographic Images with 2D Spatial and 1D Convolutional Neural Network-Based Classifier

Mammography is a first-line imaging examination that employs low-dose X-rays to rapidly screen breast tumors, cysts, and calcifications. This study proposes a two-dimensional (2D) spatial and one-dimensional (1D) convolutional neural network (CNN) to early detect possible breast lesions (tumors) to...

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Bibliographic Details
Main Authors: Chia-Hung Lin, Hsiang-Yueh Lai, Pi-Yun Chen, Jian-Xing Wu, Ching-Chou Pai, Chun-Min Su, Hui-Wen Ho
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
mammographic image
region of interest (ROI)
fractional-order convolutional process
one-dimensional kernel convolutional process
gray relational analysis (GRA)
Online Access:https://www.mdpi.com/2076-3417/12/15/7516

Internet

https://www.mdpi.com/2076-3417/12/15/7516

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