Segment anything model for medical images?
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 …
segmentation. It has achieved impressive results on various natural image segmentation …
A multi-modality ovarian tumor ultrasound image dataset for unsupervised cross-domain semantic segmentation
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 …
in early stage with computer-aided techniques can efficiently decrease the mortality rate …
Locating multiple standard planes in first-trimester ultrasound videos via the detection and scoring of key anatomical structures
Objective This study was aimed at developing a first-trimester standard plane detection
(FTSPD) system that can automatically locate nine standard planes in ultrasound videos and …
(FTSPD) system that can automatically locate nine standard planes in ultrasound videos and …
Detection and subtyping of hepatic echinococcosis from plain CT images with deep learning: a retrospective, multicentre study
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 …
rural areas worldwide. Qualified physicians are in short supply in such areas, resulting in …
Deep learning predicts immune checkpoint inhibitor-related pneumonitis from pretreatment computed tomography images
P Tan, W Huang, L Wang, G Deng, Y Yuan… - Frontiers in …, 2022 - frontiersin.org
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 …
including both non-small cell lung cancer and small cell lung cancer. Despite the promising …
ENAS-B: Combining ENAS with Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification from Ultrasound Images
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 …
cell structures for Convolutional Neural Network (CNN) design. It has been successfully …
Multimodal ultrasound fusion network for differentiating between benign and malignant solid renal tumors
D Zhu, J Li, Y Li, J Wu, L Zhu, J Li, Z Wang… - Frontiers in Molecular …, 2022 - frontiersin.org
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 …
network (MUF-Net) based on gray-scale and contrast-enhanced ultrasound (CEUS) images …
Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition
In this paper, we investigate the effectiveness of using quantum machine learning for privacy
protection in audiovisual speech processing. Quantum machine learning has made …
protection in audiovisual speech processing. Quantum machine learning has made …
Systematic Evaluation of Loss Functions for Ovarian Tumors Segmentation from Ultrasound Images
TH Nguyen, TL Pham, QV Tran, TL Le… - … on Health Science …, 2023 - ieeexplore.ieee.org
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 …
cancer is a malignant tumor that originates in one or both of ovaries. Today, the percentage …