The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …

Objectives To establish a breast lesion risk stratification system using ultrasound images to
predict breast malignancy and assess Breast Imaging Reporting and Data System (BI …

Acoustic neuroma is a common benign tumor that is frequently associated with
postoperative complications such as facial nerve dysfunction, which greatly affects the …

Differentiating between malignant and benign masses using machine learning in the
recognition of breast ultrasound (BUS) images is a technique with good accuracy and …

The quantitative feature classification of breast ultrasound images can explore the intrinsic
connection between image features and lesions, and become an important basis for the …

Breast Ultrasound (BUS) imaging is an essential tool for the early detection of breast cancer.
The Breast Imaging Reporting and Data System (BI-RADS) in BUS images helps …

Robust self-training (RST) can augment the adversarial robustness of image classification
models without significantly sacrificing models' generalizability. However, RST and other …

Objective Endobronchial ultrasound-guided transbronchial needle aspiration is a vital tool
for mediastinal and hilar lymph node staging in patients with lung cancer. Despite its high …

Accurate identification of tumor using MRI scans of brain demands robust preprocessing
techniques that effectively capture the intricate details of the skull area, especially in the …

Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma
environments and requires early diagnosis and treatment. The commonly used X‐ray, CT …