Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division

Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division

Convolutional neural networks (CNNs) in deep learning have input pixel limitations, which leads to lost information regarding microcalcification when mammography images are compressed. Segmenting images into patches retains the original resolution when inputting them into the CNN and allows for iden...

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Bibliographic Details
Main Authors: Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Algorithms
Subjects:
deep learning
mammography
image classification
Online Access:https://www.mdpi.com/1999-4893/16/10/483

Internet

https://www.mdpi.com/1999-4893/16/10/483

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