Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

Automatic analysis of medical images using machine learning techniques has gained
significant importance over the years. A large number of approaches have been proposed …

Objective This study was aimed at develo** a first-trimester standard plane detection
(FTSPD) system that can automatically locate nine standard planes in ultrasound videos and …

Background Hepatic echinococcosis is a severe endemic disease in some underdeveloped
rural areas worldwide. Qualified physicians are in short supply in such areas, resulting in …

Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal
cell structures for Convolutional Neural Network (CNN) design. It has been successfully …

Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of lung cancer,
including both non-small cell lung cancer and small cell lung cancer. Despite the promising …

Ovarian cancer is one of the most harmful gynecological diseases. Detecting ovarian tumors
in early stage with computer-aided techniques can efficiently decrease the mortality rate …

Objective: We aim to establish a deep learning model called multimodal ultrasound fusion
network (MUF-Net) based on gray-scale and contrast-enhanced ultrasound (CEUS) images …

Ovarian cancer is one of the most dangerous gynecological diseases for women. Ovarian
cancer is a malignant tumor that originates in one or both of ovaries. Today, the percentage …

In this paper, we investigate the effectiveness of using quantum machine learning for privacy
protection in audiovisual speech processing. Quantum machine learning has made …