A two-stage deep learning framework automates TMPFC calculation from angiography and matches expert manual measurements with r=0.98 in a 655-patient multi-center cohort.
Qualitative assessment across all the test datasets, mean Likert score was 4.5 with 82% rated more than 4
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Deep Learning-Based Automated Quantification of TIMI Myocardial Perfusion Frame Count (DL-TMPFC) from Coronary Angiography: A Novel Framework for Rapid Assessment of Microvascular Dysfunction
A two-stage deep learning framework automates TMPFC calculation from angiography and matches expert manual measurements with r=0.98 in a 655-patient multi-center cohort.