Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features

Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features

Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build such diagnosis pipelines. These model architectures, although remarkable in performance, are black-box systems that provide...

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Bibliographic Details
Main Authors: Alireza Rezazadeh, Yasamin Jafarian, Ali Kord
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Forecasting
Subjects:
ultrasound image texture analysis
breast cancer prediction
explainable machine learning
ensemble classification
decision tree classification
Online Access:https://www.mdpi.com/2571-9394/4/1/15

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