होम
एक्सप्लोर
nav.journalClub
ट्रेंडिंग
और
synapse
⌘+K
भाषा
हिन्दी
All in one (and one for all) – U-Net driven multiwindow tissue visualization of computed tomography data | Synapse
March 3, 2026
All in one (and one for all) – U-Net driven multiwindow tissue visualization of computed tomography data
SA
Samson Apostolakis
TS
Till Sieberth
University of Zurich
SF
Sabine Franckenberg
University of Zurich
See all
Key Points
Enhanced tissue visualization improves diagnostics in computed tomography data analysis.
Using U-Net, image segmentation achieved clarity across multiple tissue windows effectively.
Assessment involves machine learning techniques to analyze complex imaging data.
Improved imaging interpretation may enable more accurate clinical decision-making.
Mark Helpful
Like
Save
Bookmark
Relay
Share
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
Apostolakis et al. (Thu,) studied this question.
synapsesocial.com/papers/69a7678dbadf0bb9e87e15cb
https://doi.org/https://doi.org/10.1016/j.fri.2026.200677