Predicting Human Embryos' Implantation Outcome from a Single Blastocyst Image
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8844528/8856280/08857002.pdf?arnumber=8857002
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Time Series Classification for Modality-Converted Videos: A Case Study on Predicting Human Embryo Implantation from Time-Lapse Images;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27
2. Multimodal Representation Learning for Blastocyst Assessment;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18
3. Automated identification of blastocyst regions at different development stages;Scientific Reports;2023-01-02
4. Embryo selection through artificial intelligence versus embryologists: a systematic review;Human Reproduction Open;2023-01-01
5. Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques;Computer Methods and Programs in Biomedicine;2022-06
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