A new task, dataset, and dual-branch deep learning method that grades IVF embryos from time-lapse videos, claiming state-of-the-art accuracy.
In: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining
A new task, dataset, and dual-branch deep learning method that grades IVF embryos from time-lapse videos, claiming state-of-the-art accuracy.