Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences

Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences

Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US) could significantly enhance diagnosing cases with dense breasts. Most of the existing computer-aided diagnosis (CAD) systems employ a single ultrasound image for the breast tumor to extract features to classif...

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Bibliographic Details
Main Authors: Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
breast cancer
CAD system
ultrasound sequence
deep learning
transformers
Online Access:https://www.mdpi.com/2075-4418/12/5/1053

Internet

https://www.mdpi.com/2075-4418/12/5/1053

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