Video_S1_rgc_cct_3T_label1.mp4

Video_S1_rgc_cct_3T_label1.mp4

Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CCT method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and fals...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Zhou, Mengxi
Format: Video
Sprache:eng
Schlagworte:
Artificial Intelligence and Image Processing
FOS: Computer and information sciences
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Zhou, Mengxi
description Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CCT method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and false negatives (red), compared to the ground-truth manual annotations. Scale bar: 50 μm.
doi_str_mv 10.6084/m9.figshare.25565421
format Video
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_6084_m9_figshare_25565421</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_6084_m9_figshare_25565421</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_6084_m9_figshare_255654213</originalsourceid><addsrcrecordid>eNpjYJAxNNAzM7Aw0c-11EvLTC_OSCxK1TMyNTUzNTEy5GSQC8tMSc2PDzaML0pPjk9OLok3DonPSUxKzTHUyy0w4WFgTUvMKU7lhdLcDCZuriHOHropiSWJyZklqfEFRZm5iUWV8YYG8SBr4nMt42HWxMOsMSZTGwCpFTlF</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>video</recordtype></control><display><type>video</type><title>Video_S1_rgc_cct_3T_label1.mp4</title><source>DataCite</source><creator>Zhou, Mengxi</creator><creatorcontrib>Zhou, Mengxi</creatorcontrib><description>Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CCT method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and false negatives (red), compared to the ground-truth manual annotations. Scale bar: 50 μm.</description><identifier>DOI: 10.6084/m9.figshare.25565421</identifier><language>eng</language><publisher>Optica Publishing Group</publisher><subject>Artificial Intelligence and Image Processing ; FOS: Computer and information sciences</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1887</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.25565421$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Zhou, Mengxi</creatorcontrib><title>Video_S1_rgc_cct_3T_label1.mp4</title><description>Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CCT method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and false negatives (red), compared to the ground-truth manual annotations. Scale bar: 50 μm.</description><subject>Artificial Intelligence and Image Processing</subject><subject>FOS: Computer and information sciences</subject><fulltext>true</fulltext><rsrctype>video</rsrctype><creationdate>2024</creationdate><recordtype>video</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYJAxNNAzM7Aw0c-11EvLTC_OSCxK1TMyNTUzNTEy5GSQC8tMSc2PDzaML0pPjk9OLok3DonPSUxKzTHUyy0w4WFgTUvMKU7lhdLcDCZuriHOHropiSWJyZklqfEFRZm5iUWV8YYG8SBr4nMt42HWxMOsMSZTGwCpFTlF</recordid><startdate>20240709</startdate><enddate>20240709</enddate><creator>Zhou, Mengxi</creator><general>Optica Publishing Group</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20240709</creationdate><title>Video_S1_rgc_cct_3T_label1.mp4</title><author>Zhou, Mengxi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_6084_m9_figshare_255654213</frbrgroupid><rsrctype>videos</rsrctype><prefilter>videos</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial Intelligence and Image Processing</topic><topic>FOS: Computer and information sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Mengxi</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhou, Mengxi</au><genre>unknown</genre><ristype>VIDEO</ristype><title>Video_S1_rgc_cct_3T_label1.mp4</title><date>2024-07-09</date><risdate>2024</risdate><abstract>Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CCT method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and false negatives (red), compared to the ground-truth manual annotations. Scale bar: 50 μm.</abstract><pub>Optica Publishing Group</pub><doi>10.6084/m9.figshare.25565421</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.6084/m9.figshare.25565421
ispartof
issn
language eng
recordid cdi_datacite_primary_10_6084_m9_figshare_25565421
source DataCite
subjects Artificial Intelligence and Image Processing
FOS: Computer and information sciences
title Video_S1_rgc_cct_3T_label1.mp4
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T14%3A27%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:&rft.genre=unknown&rft.au=Zhou,%20Mengxi&rft.date=2024-07-09&rft_id=info:doi/10.6084/m9.figshare.25565421&rft_dat=%3Cdatacite_PQ8%3E10_6084_m9_figshare_25565421%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true