Medical informed machine learning: A scoping review and future research directions

F Leiser, S Rank, M Schmidt-Kraepelin… - Artificial Intelligence in …, 2023 - Elsevier
Combining domain knowledge (DK) and machine learning is a recent research stream to
overcome multiple issues like limited explainability, lack of data, and insufficient robustness …

[HTML][HTML] GSDA: Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification

Z Liu, Q Lv, CH Lee, L Shen - Heliyon, 2023 - cell.com
Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical
practice, but its usage presents unique challenges such as variable imaging quality. Deep …

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness

S Jiang, H Wu, J Chen, Q Zhang… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
We present a novel semi-supervised framework for breast ultrasound (BUS) image
segmentation which is a very challenging task owing to (1) large scale and shape variations …

A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis

X Xie, J Niu, X Liu, Y Wang, Q Li, S Tang - Expert Systems with Applications, 2024 - Elsevier
Semi-supervised learning has attracted much attention in medical image analysis as
annotating medical images is substantially difficult. Existing semi-supervised learning …

GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification

Z Liu, Q Lv, CH Lee, L Shen - arXiv preprint arXiv:2203.06184, 2022 - arxiv.org
Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical
practice, but its usage presents unique challenges such as variable imaging quality. Deep …

Semi-supervised Learning for Real-time Segmentation of Ultrasound Video Objects: A Review.

J Guo, Z Li, Y Lin - Advanced Ultrasound in Diagnosis & …, 2023 - search.ebscohost.com
Real-time intelligent segmentation of ultrasound video object is a demanding task in the field
of medical image processing and serves as an essential and critical step in image-guided …