End-to-End Calcification Distribution Pattern Recognition for Mammograms: An Interpretable Approach with GNN

End-to-End Calcification Distribution Pattern Recognition for Mammograms: An Interpretable Approach with GNN

<b>Purpose</b>: We aimed to develop a novel interpretable artificial intelligence (AI) model algorithm focusing on automatic detection and classification of various patterns of calcification distribution in mammographic images using a unique graph convolution approach. <b>Materials...

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Bibliographic Details
Main Authors: Melissa Min-Szu Yao, Hao Du, Mikael Hartman, Wing P. Chan, Mengling Feng
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Diagnostics
Subjects:
artificial intelligence
calcifications
graph convolution network
deep learning
mammography
Online Access:https://www.mdpi.com/2075-4418/12/6/1376

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https://www.mdpi.com/2075-4418/12/6/1376

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