[HTML][HTML] Automated 3D cytoplasm segmentation in soft X-ray tomography

A Erozan, PD Lösel, V Heuveline, V Weinhardt - Iscience, 2024 - cell.com
Cells' structure is key to understanding cellular function, diagnostics, and therapy
development. Soft X-ray tomography (SXT) is a unique tool to image cellular structure …

KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation

Y Peng, H Zheng, P Liang, L Zhang, F Zaman… - Medical image …, 2022 - Elsevier
Knee cartilage and bone segmentation is critical for physicians to analyze and diagnose
articular damage and knee osteoarthritis (OA). Deep learning (DL) methods for medical …

Earth imagery segmentation on terrain surface with limited training labels: A semi-supervised approach based on physics-guided graph co-training

W He, AM Sainju, Z Jiang, D Yan, Y Zhou - ACM Transactions on …, 2022 - dl.acm.org
Given earth imagery with spectral features on a terrain surface, this paper studies surface
segmentation based on both explanatory features and surface topology. The problem is …

Model-based deep learning for medical image segmentation with global optimality

H Xie - 2022 - search.proquest.com
Image semantic segmentation, which partitions images into multiple segments on the pixel
level, plays a fundamental role in computer vision applications. With superior data …