Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes

S Hanassab; A Abbara; T Alhamwi; A Comninos; R Salim; G Trew; S Nelson; Tom Kelsey; T Heinis; W Dhillo

doi:10.1093/humrep/dead093.952

Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes

S Hanassab, A Abbara, T Alhamwi, A Comninos, R Salim, G Trew, S Nelson, Tom Kelsey, T Heinis, W Dhillo

Research output: Contribution to journal › Abstract › peer-review

Original language	English
Article number	P-623
Number of pages	2
Journal	Human Reproduction
Volume	38
Issue number	Supplement_1
Early online date	22 Jun 2023
DOIs	https://doi.org/10.1093/humrep/dead093.952
Publication status	Published - 26 Jun 2023
Event	39th hybrid annual meeting of the European Society of Human Reproduction and Embryology - Bella Center, Copenhagen, Denmark Duration: 25 Jun 2023 → 28 Jun 2023 https://www.eshre.eu/ESHRE2023

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10.1093/humrep/dead093.952

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title = "Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes",

author = "S Hanassab and A Abbara and T Alhamwi and A Comninos and R Salim and G Trew and S Nelson and Tom Kelsey and T Heinis and W Dhillo",

year = "2023",

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day = "26",

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language = "English",

volume = "38",

journal = "Human Reproduction",

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T1 - Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes

AU - Hanassab, S

AU - Abbara, A

AU - Alhamwi, T

AU - Comninos, A

AU - Salim, R

AU - Trew, G

AU - Nelson, S

AU - Kelsey, Tom

AU - Heinis, T

AU - Dhillo, W

PY - 2023/6/26

Y1 - 2023/6/26

UR - https://academic.oup.com/humrep/issue/38/Supplement_1

U2 - 10.1093/humrep/dead093.952

DO - 10.1093/humrep/dead093.952

M3 - Abstract

SN - 0268-1161

VL - 38

JO - Human Reproduction

JF - Human Reproduction

IS - Supplement_1

M1 - P-623

T2 - 39th hybrid annual meeting of the European Society of Human Reproduction and Embryology

Y2 - 25 June 2023 through 28 June 2023

ER -

Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes

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