Loading…
P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features
Saved in:
Published in: | Human reproduction (Oxford) 2021-08, Vol.36 (Supplement_1) |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c1304-36c6baa2d62aeaeea832968a44f6041b2c2af0d7bb41539d92e47d3c6fc87a3c3 |
---|---|
cites | |
container_end_page | |
container_issue | Supplement_1 |
container_start_page | |
container_title | Human reproduction (Oxford) |
container_volume | 36 |
creator | Sánche. González, D Flores-Saiffe, A Valencia-Murillo, R Mendizabal-Ruiz, G Chavez-Badiol, A |
description | |
doi_str_mv | 10.1093/humrep/deab130.244 |
format | article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1093_humrep_deab130_244</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1093_humrep_deab130_244</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1304-36c6baa2d62aeaeea832968a44f6041b2c2af0d7bb41539d92e47d3c6fc87a3c3</originalsourceid><addsrcrecordid>eNotkEtOwzAYhC0EEqVwAVa-QFq_6iZLVPGSimAB6-i3_ac1SuPIdhdl1Tuw4no9Cana1YxGo5HmI-SeswlnlZyut5uI_dQhGC7ZRCh1QUZcaVYIOWOXZMSELgvONb8mNyl9MzbYUo_I9uOw_xVqRt_Arn2HtEWIne9WtI_ovM1HG4LdZTzs_xJtMGbf-h_IPnQUOkdNCykPhZRpHzJ22UNLDSR0dGhsQuzXoQ0rb4e4QcjbiOmWXDXQJrw765h8PT1-Ll6K5fvz6-JhWdjhhSqkttoACKcFICBCKUWlS1Cq0UxxI6yAhrm5MYrPZOUqgWrupNWNLecgrRwTcdq1MaQUsan76DcQdzVn9RFcfQJXn8HVAzj5D0_OaXw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features</title><source>Oxford Journals Online</source><creator>Sánche. González, D ; Flores-Saiffe, A ; Valencia-Murillo, R ; Mendizabal-Ruiz, G ; Chavez-Badiol, A</creator><creatorcontrib>Sánche. González, D ; Flores-Saiffe, A ; Valencia-Murillo, R ; Mendizabal-Ruiz, G ; Chavez-Badiol, A</creatorcontrib><identifier>ISSN: 0268-1161</identifier><identifier>EISSN: 1460-2350</identifier><identifier>DOI: 10.1093/humrep/deab130.244</identifier><language>eng</language><ispartof>Human reproduction (Oxford), 2021-08, Vol.36 (Supplement_1)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1304-36c6baa2d62aeaeea832968a44f6041b2c2af0d7bb41539d92e47d3c6fc87a3c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Sánche. González, D</creatorcontrib><creatorcontrib>Flores-Saiffe, A</creatorcontrib><creatorcontrib>Valencia-Murillo, R</creatorcontrib><creatorcontrib>Mendizabal-Ruiz, G</creatorcontrib><creatorcontrib>Chavez-Badiol, A</creatorcontrib><title>P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features</title><title>Human reproduction (Oxford)</title><issn>0268-1161</issn><issn>1460-2350</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkEtOwzAYhC0EEqVwAVa-QFq_6iZLVPGSimAB6-i3_ac1SuPIdhdl1Tuw4no9Cana1YxGo5HmI-SeswlnlZyut5uI_dQhGC7ZRCh1QUZcaVYIOWOXZMSELgvONb8mNyl9MzbYUo_I9uOw_xVqRt_Arn2HtEWIne9WtI_ovM1HG4LdZTzs_xJtMGbf-h_IPnQUOkdNCykPhZRpHzJ22UNLDSR0dGhsQuzXoQ0rb4e4QcjbiOmWXDXQJrw765h8PT1-Ll6K5fvz6-JhWdjhhSqkttoACKcFICBCKUWlS1Cq0UxxI6yAhrm5MYrPZOUqgWrupNWNLecgrRwTcdq1MaQUsan76DcQdzVn9RFcfQJXn8HVAzj5D0_OaXw</recordid><startdate>20210806</startdate><enddate>20210806</enddate><creator>Sánche. González, D</creator><creator>Flores-Saiffe, A</creator><creator>Valencia-Murillo, R</creator><creator>Mendizabal-Ruiz, G</creator><creator>Chavez-Badiol, A</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210806</creationdate><title>P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features</title><author>Sánche. González, D ; Flores-Saiffe, A ; Valencia-Murillo, R ; Mendizabal-Ruiz, G ; Chavez-Badiol, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1304-36c6baa2d62aeaeea832968a44f6041b2c2af0d7bb41539d92e47d3c6fc87a3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sánche. González, D</creatorcontrib><creatorcontrib>Flores-Saiffe, A</creatorcontrib><creatorcontrib>Valencia-Murillo, R</creatorcontrib><creatorcontrib>Mendizabal-Ruiz, G</creatorcontrib><creatorcontrib>Chavez-Badiol, A</creatorcontrib><collection>CrossRef</collection><jtitle>Human reproduction (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sánche. González, D</au><au>Flores-Saiffe, A</au><au>Valencia-Murillo, R</au><au>Mendizabal-Ruiz, G</au><au>Chavez-Badiol, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features</atitle><jtitle>Human reproduction (Oxford)</jtitle><date>2021-08-06</date><risdate>2021</risdate><volume>36</volume><issue>Supplement_1</issue><issn>0268-1161</issn><eissn>1460-2350</eissn><doi>10.1093/humrep/deab130.244</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0268-1161 |
ispartof | Human reproduction (Oxford), 2021-08, Vol.36 (Supplement_1) |
issn | 0268-1161 1460-2350 |
language | eng |
recordid | cdi_crossref_primary_10_1093_humrep_deab130_244 |
source | Oxford Journals Online |
title | P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T15%3A13%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=P%E2%80%93245%20Machine%20learning%20predicting%20oocyte%E2%80%99s%20fertilization%20and%20blastocyst%20potential%20based%20on%20morphological%20features&rft.jtitle=Human%20reproduction%20(Oxford)&rft.au=S%C3%A1nche.%20Gonz%C3%A1lez,%20D&rft.date=2021-08-06&rft.volume=36&rft.issue=Supplement_1&rft.issn=0268-1161&rft.eissn=1460-2350&rft_id=info:doi/10.1093/humrep/deab130.244&rft_dat=%3Ccrossref%3E10_1093_humrep_deab130_244%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1304-36c6baa2d62aeaeea832968a44f6041b2c2af0d7bb41539d92e47d3c6fc87a3c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |