[HTML][HTML] Automated 3D cytoplasm segmentation in soft X-ray tomography
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 …
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
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 …
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
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 …
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 …
level, plays a fundamental role in computer vision applications. With superior data …