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Data · dataset · 2026

Spatio-temporal alignment diffusion prediction model for embryo development

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STA-Diff predicts embryonic developmental stages by learning motion representations from time-lapse embryo images.

Description

It employs an MRR module to decouple static appearance information and dynamic developmental features, while integrating SIRP, D-STDM, and TWCM modules to model local structural changes, long-term temporal dependencies, and variations in developmental rates. 

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Catalogue records · 1

Topics

Inferred from text
Evolutionary biology 70% · Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00240.0029411 d agoJSON v1
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