An Interpretable Breast Ultrasound Image Classification Algorithm Based on Convolutional Neural Network and Transformer
Xiangjia Meng,
Jun Ma,
Feng Liu
et al.
Abstract: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. In recent years, computer-aided diagnosis (CAD) has been widely used in medical images, reducing the workload of doctors and the probability of misdiagnosis. However, it still faces the following challenges in clinic… Show more
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