3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF

In vitro fertilization IVF is an important assisted reproductive technology ART that relies on accurate embryo assessment and follicle tracking to improve success rates. Recent advances in deep learning and 3D visualization have provided promising solutions to automate and improve both embryo and follicle assessment.

Authors

Publication Details

Journal
Sylwan
Published
2025-01-01
DOI
https://doi.org/10.59879/rolg5
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF

J. Deepa, A. Akila
Sylwan
Impact of AI and Big Data on Business and Society
article

3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF

J. Deepa, A. Akila
article en

Abstract

In vitro fertilization IVF is an important assisted reproductive technology ART that relies on accurate embryo assessment and follicle tracking to improve success rates. Recent advances in deep learning and 3D visualization have provided promising solutions to automate and improve both embryo and follicle assessment.

Sylwan
Openalex Percentile: Top 91%
Impact of AI and Big Data on Business and Society
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3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF — J. Deepa, A. Akila · Sylwan (2025) | TGRS Research Map | TGRS