Diabetic Foot Ulcers Grand Challenge: Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

130 Pages·2023·15.005 MB·English

by  Moi Hoon Yap, Connah Kendrick, Bill Cassidy

Moi Hoon Yap
Connah Kendrick
es Bill Cassidy (Eds.)
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Third Challenge, DFUC 2022
Held in Conjunction with MICCAI 2022
Singapore, September 22, 2022, Proceedings
Lecture Notes in Computer Science 13797
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JurisHartmanis
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WenGao,PekingUniversity,Beijing,China
BernhardSteffen ,TUDortmundUniversity,Dortmund,Germany
MotiYung ,ColumbiaUniversity,NewYork,NY,USA
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Moi Hoon Yap · Connah Kendrick · Bill Cassidy
Editors
Diabetic Foot Ulcers
Grand Challenge
Third Challenge, DFUC 2022
Held in Conjunction with MICCAI 2022
Singapore, September 22, 2022
Proceedings
Editors
MoiHoonYap ConnahKendrick
ManchesterMetropolitanUniversity ManchesterMetropolitanUniversity
Manchester,UK Manchester,UK
BillCassidy
ManchesterMetropolitanUniversity
Manchester,UK
ISSN 0302-9743 ISSN 1611-3349 (electronic)
LectureNotesinComputerScience
ISBN 978-3-031-26353-8 ISBN 978-3-031-26354-5 (eBook)
https://doi.org/10.1007/978-3-031-26354-5
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Preface
This is the second Diabetic Foot Ulcer (DFU) proceedings, this one focusing on the
DFU Challenge 2022 (DFUC 2022), organized in conjunction with the 25th Interna-
tional Conference on Medical Image Computing and Computer Assisted Intervention
(MICCAI2022).Followingtwochallenges(DFUC2020andDFUC2021)conducted
as virtual events due to the COVID-19 pandemic, this challenge event was conducted
inpersononSeptember22,2022inSingapore.Wereceivedover1000submissionsfor
thevalidationstageand52submissionsforthetestingstage.
TheDFUchallengesaimtomotivatethehealthcaredomaintosharedatasets,par-
ticipate in ground truth annotation, and enable data-innovation in computer algorithm
development.Inthelongerterm,itwillleadtoimprovedpatientcareandreducethestrain
onoverburdenedhealthcaresystems.Withjointeffortsfromleadingscientistsfromthe
UK,US,IndiaandNewZealand,theseinauguralchallengeswerewell-received,with
thefirstDFUchallengesuccessfullyconductedin2020forthetaskofDFUdetection
andthesecondDFUchallengesuccessfullyconductedin2021forthetaskofDFUclas-
sification.ThetaskofDFUC2022wasulcersegmentation,forthepurposeofsupporting
researchtowardsmoreadvancedmethodsofulcerregionquantification.
Thisproceedingsincludesresearchpapersinvestigatingtheeffectofduplicateimages
inDFUC2021(asacontinuationfromtheDFUC2021proceedings),gathersmethod-
ologicalpapersofsegmentationmethodsevaluatedatDFUC2022andpostchallenge,
and includes a DFUC 2022 summary paper from the organizers. Apart from the con-
tinuationpaperofDFUC2021andasummarypaper,allpaperswerereviewedby2–3
reviewersandassignedtoameta-reviewer.ForDFUC2022papersasingle-blindreview
processwasused,acceptingonlythetop-5entriesduetotheproceedingscallforpapers
deadline. In total we received 21 paper submissions with only eight papers accepted
andtwowithdrawnwithanacceptancerateof45%.Theorganizerswerenotlistedas
authorsforthechallengeandpostchallengepapers.
Asaconcludingnote,theorganizersofthechallengecontinuetosupporttheresearch
communitybyprovidingliveleaderboardstotesttheperformanceoftheiralgorithms.
To date, there are 204 submissions on the DFUC 2022 live leaderboard. Researchers
whoareinterestedinthechallengecanrequestthedatasetsandevaluateonourgrand
challengewebsites(DFUdetectiontask,DFUclassificationtaskandDFUsegmentation
task).TheorganizerswillconductDFUC2023inconjunctionwithMICCAI2023,with
thetaskfocusingonDFUinstancesegmentation.
December2022 MoiHoonYap
ConnahKendrick
BillCassidy
Organization
GeneralChairs
MoiHoonYap ManchesterMetropolitanUniversity,UK
ConnahKendrick ManchesterMetropolitanUniversity,UK
NeilReeves ManchesterMetropolitanUniversity,UK
OrganizingCommittee
MoiHoonYap ManchesterMetropolitanUniversity,UK
NeilReeves ManchesterMetropolitanUniversity,UK
AndrewBoulton UniversityofManchesterandManchester
Infirmary,UK
SatyanRajbhandari LancashireTeachingHospitals,UK
DavidArmstrong UniversityofSouthernCalifornia,USA
ArunG.Maiya ManipalCollegeofHealthProfessions,India
BijanNajafi BaylorCollegeofMedicine,USA
BillCassidy ManchesterMetropolitanUniversity,UK
JustinaWu WaikatoDistrictHealthBoard,NewZealand
ClinicalChairs
JosephM.Pappachan LancashireTeachingHospitals,UK
ClaireO’Shea WaikatoDistrictHealthBoard,NewZealand
TechnicalChairs
ConnahKendrick ManchesterMetropolitanUniversity,UK
BillCassidy ManchesterMetropolitanUniversity,UK
ProgramCommitteeChairs
ConnahKendrick ManchesterMetropolitanUniversity,UK
BillCassidy ManchesterMetropolitanUniversity,UK
viii Organization
ProgramCommittee
ChristophFriedrich UniversityofAppliedSciencesandArts
Dortmund,Germany
RaphaelBrüngel UniversityofAppliedSciencesandArts
Dortmund,Germany
NoraAl-Garaawi UniversityofKufa,Najaf,Iraq
AdrianGaldran BournemouthUniversity,UK
Ting-YuLiao NationalTsingHuaUniversity,Taiwan
JoannaJaworek-Korjakowska AGHUniversityofScienceandTechnology,
Poland
AndrzejBrodzicki AGHUniversityofScienceandTechnology,
Poland
Yung-HanChen NationalYangMingChiaoTung,Taiwan
DavidHresko TechnicalUniversityofKosice,Slovakia
AbdulQayyum ÉcoleNationaled’IngénieursdeBrest,France
Sponsors
Contents
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer
Classification ......................................................... 1
ImranChowdhuryDipto, BillCassidy, ConnahKendrick,
NeilD.Reeves, JosephM.Pappachan, VishnuChandrabalan,
andMoiHoonYap
DFUC2022ChallengePapers
HarDNet-DFUS:EnhancingBackboneandDecoderofHarDNet-MSEG
forDiabeticFootUlcerImageSegmentation .............................. 21
Ting-YuLiao, Ching-HuiYang, Yu-WenLo, Kuan-YingLai,
Po-HuaiShen,andYoun-LongLin
OCRNetforDiabeticFootUlcerSegmentationCombinedwithEdgeLoss ..... 31
HuahuiYi,WeiXu,ZekunJiang,JunGao,QingboKang,QichengLao,
andKangLi
OntheOptimalCombinationofCross-EntropyandSoftDiceLosses
forLesionSegmentationwithOut-of-DistributionRobustness ............... 40
AdrianGaldran,GustavoCarneiro,andMiguelA.GonzálezBallester
CapturetheDevilintheDetailsviaPartition-then-EnsembleonHigher
ResolutionImages ..................................................... 52
Yung-HanChen,Yi-JenJu,andJuinn-DarHuang
Unconditionally Generated and Pseudo-Labeled Synthetic Images
forDiabeticFootUlcerSegmentationDatasetExtension .................... 65
RaphaelBrüngel,SvenKoitka,andChristophM.Friedrich
PostChallengePapers
Diabetic Foot Ulcer Segmentation Using Convolutional
andTransformer-BasedModels .......................................... 83
MariamHassib, MaramAli, AminaMohamed, MarwanTorki,
andMohamedHussein
RefinedMixupAugmentationforDiabeticFootUlcerSegmentation .......... 92
DavidJozefHresko,JakubVereb,ValentinKrigovsky,MichalaGayova,
andPeterDrotar
x Contents
DFU-Ens:End-to-EndDiabeticFootUlcerSegmentationFramework
withVisionTransformerBasedDetection ................................. 101
DariuszKucharski, AleksanderKostuch, FilipNoworolnik,
AndrzejBrodzicki,andJoannaJaworek-Korjakowska
SummaryPaper
DiabeticFootUlcerGrandChallenge2022Summary ....................... 115
ConnahKendrick,BillCassidy,NeilD.Reeves,JosephM.Pappachan,
ClaireO’Shea,VishnuChandrabalan,andMoiHoonYap
AuthorIndex ......................................................... 125