Predicting the pathological status of mammographic microcalcifications through a radiomics approach

Predicting the pathological status of mammographic microcalcifications through a radiomics approach

Objective The study aimed to develop a machine learning (ML)-coupled interpretable radiomics signature to predict the pathological status of non-palpable suspicious breast microcalcifications (MCs).Methods We enrolled 463 digital mammographical view images from 260 consecutive patients detected with...

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Bibliographic Details
Main Authors: Min Li, Liyu Zhu, Guangquan Zhou, Jianan He, Yanni Jiang, Yang Chen
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Intelligent Medicine
Subjects:
Nonpalpable microcalcifications
Radiomics
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667102621000127

Internet

http://www.sciencedirect.com/science/article/pii/S2667102621000127

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