An Interpretable Breast Ultrasound Image Classification Algorithm Based on Convolutional Neural Network and Transformer

An Interpretable Breast Ultrasound Image Classification Algorithm Based on Convolutional Neural Network and Transformer

Breast cancer is one of the most common causes of death in women. Early signs of breast cancer can be an abnormality depicted on breast images like breast ultrasonography. Unfortunately, ultrasound images contain a lot of noise, which greatly increases the difficulty for doctors to interpret them. I...

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Bibliographic Details
Main Authors: Xiangjia Meng, Jun Ma, Feng Liu, Zhihua Chen, Tingting Zhang
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Mathematics
Subjects:
breast cancer
ultrasound imaging classification
artificial intelligence
ensemble learning
Online Access:https://www.mdpi.com/2227-7390/12/15/2354

Internet

https://www.mdpi.com/2227-7390/12/15/2354

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