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Increasing the impact of vertebrate scientific collections through 3D imaging: The openVertebrate (oVert) Thematic Collections Network
The impact of preserved museum specimens is transforming and increasing by three-
dimensional (3D) imaging that creates high-fidelity online digital specimens. Through …
dimensional (3D) imaging that creates high-fidelity online digital specimens. Through …
Deep interactive segmentation of medical images: A systematic review and taxonomy
Interactive segmentation is a crucial research area in medical image analysis aiming to
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
Monai label: A framework for ai-assisted interactive labeling of 3d medical images
The lack of annotated datasets is a major bottleneck for training new task-specific
supervised machine learning models, considering that manual annotation is extremely …
supervised machine learning models, considering that manual annotation is extremely …
Adaptiveclick: Click-aware transformer with adaptive focal loss for interactive image segmentation
Interactive image segmentation (IIS) has emerged as a promising technique for decreasing
annotation time. Substantial progress has been made in pre-and post-processing for IIS, but …
annotation time. Substantial progress has been made in pre-and post-processing for IIS, but …
[PDF][PDF] Sammed: A medical image annotation framework based on large vision model
C Wang, D Li, S Wang, C Zhang, Y Wang… - ar** review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior sco** review has been undertaken to …
high-volume model of trauma radiology. No prior sco** review has been undertaken to …
Click-pixel cognition fusion network with balanced cut for interactive image segmentation
J Lin, Z ** subject brain images to an average template
brain—has evolved over the last 20+ years into a reliable method that facilitates the …
brain—has evolved over the last 20+ years into a reliable method that facilitates the …
Guiding the guidance: A comparative analysis of user guidance signals for interactive segmentation of volumetric images
Interactive segmentation reduces the annotation time of medical images and allows
annotators to iteratively refine labels with corrective interactions, such as clicks. While …
annotators to iteratively refine labels with corrective interactions, such as clicks. While …
Accuracy of deep learning-based upper airway segmentation
Y Süküt, E Yurdakurban, GS Duran - Journal of Stomatology, Oral and …, 2025 - Elsevier
Introduction In orthodontic treatments, accurately assessing the upper airway volume and
morphology is essential for proper diagnosis and planning. Cone beam computed …
morphology is essential for proper diagnosis and planning. Cone beam computed …