GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarkers to indicate glaucoma suspected. Clinically, it is often recommended to take both of the screenings for a more accurate...
Saved in:
Published in | arXiv.org |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Paper |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
26.12.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarkers to indicate glaucoma suspected. Clinically, it is often recommended to take both of the screenings for a more accurate and reliable diagnosis. However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment. Inspired by the success of Retinal Fundus Glaucoma Challenge (REFUGE) we held previously, we set up the Glaucoma grAding from Multi-Modality imAges (GAMMA) Challenge to encourage the development of fundus \& OCT-based glaucoma grading. The primary task of the challenge is to grade glaucoma from both the 2D fundus images and 3D OCT scanning volumes. As part of GAMMA, we have publicly released a glaucoma annotated dataset with both 2D fundus color photography and 3D OCT volumes, which is the first multi-modality dataset for glaucoma grading. In addition, an evaluation framework is also established to evaluate the performance of the submitted methods. During the challenge, 1272 results were submitted, and finally, top-10 teams were selected to the final stage. We analysis their results and summarize their methods in the paper. Since all these teams submitted their source code in the challenge, a detailed ablation study is also conducted to verify the effectiveness of the particular modules proposed. We find many of the proposed techniques are practical for the clinical diagnosis of glaucoma. As the first in-depth study of fundus \& OCT multi-modality glaucoma grading, we believe the GAMMA Challenge will be an essential starting point for future research. |
---|---|
AbstractList | Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarkers to indicate glaucoma suspected. Clinically, it is often recommended to take both of the screenings for a more accurate and reliable diagnosis. However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment. Inspired by the success of Retinal Fundus Glaucoma Challenge (REFUGE) we held previously, we set up the Glaucoma grAding from Multi-Modality imAges (GAMMA) Challenge to encourage the development of fundus \& OCT-based glaucoma grading. The primary task of the challenge is to grade glaucoma from both the 2D fundus images and 3D OCT scanning volumes. As part of GAMMA, we have publicly released a glaucoma annotated dataset with both 2D fundus color photography and 3D OCT volumes, which is the first multi-modality dataset for glaucoma grading. In addition, an evaluation framework is also established to evaluate the performance of the submitted methods. During the challenge, 1272 results were submitted, and finally, top-10 teams were selected to the final stage. We analysis their results and summarize their methods in the paper. Since all these teams submitted their source code in the challenge, a detailed ablation study is also conducted to verify the effectiveness of the particular modules proposed. We find many of the proposed techniques are practical for the clinical diagnosis of glaucoma. As the first in-depth study of fundus \& OCT multi-modality glaucoma grading, we believe the GAMMA Challenge will be an essential starting point for future research. |
Author | Xu, Yanyu Ou, Chubin Li, Lin Xu, Yanwu Fu, Huazhu Li, Huiqi Zhang, Xiulan Lu, Zhichao Yu, Qinji Wu, Junde Orlando, José Ignacio Li, Jiongcheng Xu, Xinxing Zhou, Qiang Hu, Qiang Liu, Bingyuan Bogunovic, Hrvoje Tang, Xiaoying Lu, Shuai Wang, Wensai Fang, Huihui Lin, Fengbin Wang, Lingxiao Huang, Shihua Kobbi, Riadh Huang, Lexing Song, Sifan Xifei Wei Li, Fei |
Author_xml | – sequence: 1 givenname: Junde surname: Wu fullname: Wu, Junde – sequence: 2 givenname: Huihui surname: Fang fullname: Fang, Huihui – sequence: 3 givenname: Fei surname: Li fullname: Li, Fei – sequence: 4 givenname: Huazhu surname: Fu fullname: Fu, Huazhu – sequence: 5 givenname: Fengbin surname: Lin fullname: Lin, Fengbin – sequence: 6 givenname: Jiongcheng surname: Li fullname: Li, Jiongcheng – sequence: 7 givenname: Lexing surname: Huang fullname: Huang, Lexing – sequence: 8 givenname: Qinji surname: Yu fullname: Yu, Qinji – sequence: 9 givenname: Sifan surname: Song fullname: Song, Sifan – sequence: 10 givenname: Xinxing surname: Xu fullname: Xu, Xinxing – sequence: 11 givenname: Yanyu surname: Xu fullname: Xu, Yanyu – sequence: 12 givenname: Wensai surname: Wang fullname: Wang, Wensai – sequence: 13 givenname: Lingxiao surname: Wang fullname: Wang, Lingxiao – sequence: 14 givenname: Shuai surname: Lu fullname: Lu, Shuai – sequence: 15 givenname: Huiqi surname: Li fullname: Li, Huiqi – sequence: 16 givenname: Shihua surname: Huang fullname: Huang, Shihua – sequence: 17 givenname: Zhichao surname: Lu fullname: Lu, Zhichao – sequence: 18 givenname: Chubin surname: Ou fullname: Ou, Chubin – sequence: 19 fullname: Xifei Wei – sequence: 20 givenname: Bingyuan surname: Liu fullname: Liu, Bingyuan – sequence: 21 givenname: Riadh surname: Kobbi fullname: Kobbi, Riadh – sequence: 22 givenname: Xiaoying surname: Tang fullname: Tang, Xiaoying – sequence: 23 givenname: Lin surname: Li fullname: Li, Lin – sequence: 24 givenname: Qiang surname: Zhou fullname: Zhou, Qiang – sequence: 25 givenname: Qiang surname: Hu fullname: Hu, Qiang – sequence: 26 givenname: Hrvoje surname: Bogunovic fullname: Bogunovic, Hrvoje – sequence: 27 givenname: José surname: Orlando middlename: Ignacio fullname: Orlando, José Ignacio – sequence: 28 givenname: Xiulan surname: Zhang fullname: Zhang, Xiulan – sequence: 29 givenname: Yanwu surname: Xu fullname: Xu, Yanwu |
BookMark | eNqNyjEOgjAYQOHGaCIqd2jiTAJ_BUGnhigu3dhJI6WWlFZbOnh7HTyA0xu-t0FLY41YoAgIyZLyALBGsfdjmqZQHCHPSYTODWWM4vrBtRZGilOjebjbiWPpaK-MxIOzE2ZBzyphtudazW-sJiqF36HVwLUX8a9btL9e2vqWPJ19BeHnbrTBmS91UEBZZRlUJfnv-gC7DzgI |
ContentType | Paper |
Copyright | 2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | 8FE 8FG ABJCF ABUWG AFKRA AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PIMPY PQEST PQQKQ PQUKI PRINS PTHSS |
DatabaseName | ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central SciTech Premium Collection ProQuest Engineering Collection Engineering Database Publicly Available Content Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection |
DatabaseTitle | Publicly Available Content Database Engineering Database Technology Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest One Academic Engineering Collection |
DatabaseTitleList | Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
EISSN | 2331-8422 |
Genre | Working Paper/Pre-Print |
GroupedDBID | 8FE 8FG ABJCF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BENPR BGLVJ CCPQU DWQXO FRJ HCIFZ L6V M7S M~E PIMPY PQEST PQQKQ PQUKI PRINS PTHSS |
ID | FETCH-proquest_journals_26289112983 |
IEDL.DBID | BENPR |
IngestDate | Thu Oct 10 17:15:06 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-proquest_journals_26289112983 |
OpenAccessLink | https://www.proquest.com/docview/2628911298?pq-origsite=%requestingapplication% |
PQID | 2628911298 |
PQPubID | 2050157 |
ParticipantIDs | proquest_journals_2628911298 |
PublicationCentury | 2000 |
PublicationDate | 20221226 |
PublicationDateYYYYMMDD | 2022-12-26 |
PublicationDate_xml | – month: 12 year: 2022 text: 20221226 day: 26 |
PublicationDecade | 2020 |
PublicationPlace | Ithaca |
PublicationPlace_xml | – name: Ithaca |
PublicationTitle | arXiv.org |
PublicationYear | 2022 |
Publisher | Cornell University Library, arXiv.org |
Publisher_xml | – name: Cornell University Library, arXiv.org |
SSID | ssj0002672553 |
Score | 3.4385467 |
SecondaryResourceType | preprint |
Snippet | Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images... |
SourceID | proquest |
SourceType | Aggregation Database |
SubjectTerms | Ablation Algorithms Biomarkers Color photography Datasets Diagnosis Glaucoma Medical imaging Optical Coherence Tomography Performance evaluation Source code Teams |
Title | GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges |
URI | https://www.proquest.com/docview/2628911298 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1dS8MwFL24FsG3-YUfcwT0NVjTLk3ng9TRdggdQxT2NtIkHYJzs91e_e0msdUHYY8hkC_CPfecnHABbjToMMIHBWbK83BQFhQXklNMSqM4iCL0fly-Ezp-DZ5mg1kjuNWNrbKNiTZQy5UwGvktoZoamOSAPaw_sakaZV5XmxIaHXCJZgqeA-5jMpk-_6oshIY6Z_b_BVqLHmkX3Clfq-oQ9tTHEexb06Woj-E-i_M8RqO2nskwe-dbvRqOFlVsMAWZzx_I_pHF-UralBm9LeOFqk_gOk1eRmPczjhvbkU9_9uDfwqOpvfqDBCXhDImRMR9zR6CgMuIysj3y1CVVBB2Dr1dI13s7r6EA2IM-3cEE9oDZ1Nt1ZWG0U3Rhw5Ls35zYrqVfyXfYn18KA |
link.rule.ids | 783,787,12777,21400,33385,33756,43612,43817 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1dS8MwFL3oiuibn_gxNaCvwZp2aaoPUse2qmsZMmFvJU3SMVA32-3_m9RUH4Q9B_JFuOeek5NcgGsNOozwTo6Zcl3sFznFueQUk8IoDiIP3B-Xb0rjN_950plYwa2ytsomJtaBWs6F0chvCNXUwCQH7GHxhU3VKHO7aktobIJjvqrS5Mt57KWj11-VhdBA58zev0Bbo0d_F5wRX6hyDzbU5z5s1aZLUR3A_SBKkgh1m3omd4N3vtKz4WhaRgZTkHn8geo3sjiZyzplRrOPaKqqQ7jq98bdGDcjZvZUVNnfGrwjaGl6r44BcUkoY0KE3NPswfe5DKkMPa8IVEEFYSfQXtfT6frmS9iOx8kwGz6lL2ewQ4x5_5ZgQtvQWpYrda4hdZlf2H37Bo3HfQs |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=GAMMA+Challenge%3AGlaucoma+grAding+from+Multi-Modality+imAges&rft.jtitle=arXiv.org&rft.au=Wu%2C+Junde&rft.au=Fang%2C+Huihui&rft.au=Li%2C+Fei&rft.au=Fu%2C+Huazhu&rft.date=2022-12-26&rft.pub=Cornell+University+Library%2C+arXiv.org&rft.eissn=2331-8422 |