Image Processing Approach for Grading IVF Blastocyst: A State-of-the-Art Review and Future Perspective of Deep Learning-Based Models
The development of intelligence-based methods and application systems has expanded for the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on assisted reproductive technology (ART) have been discovered, including ones that process morphological image approache...
| 出版年: | Applied Sciences (Switzerland) |
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| 第一著者: | |
| フォーマット: | Review |
| 言語: | English |
| 出版事項: |
MDPI
2023
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146548647&doi=10.3390%2fapp13021195&partnerID=40&md5=ca0e08226c80a8976568cc481d90c7b2 |