Metrics reloaded: Pitfalls and recommendations for image analysis validation.
Lena Maier-HeinAnnika ReinkeEvangelia ChristodoulouBen GlockerPatrick GodauFabian IsenseeJens KleesiekMichal KozubekMauricio ReyesMichael A. RieglerManuel WiesenfarthMichael BaumgartnerMatthias EisenmannDoreen Heckmann-NötzelA. Emre KavurTim RädschMinu Dietlinde TizabiLaura AciónMichela AntonelliTal ArbelSpyridon BakasPeter BankheadArriel BenisM. Jorge CardosoVeronika CheplyginaBeth CiminiGary S. CollinsKeyvan FarahaniBram van GinnekenDaniel A. HashimotoMichael M. HoffmanMerel HuismanPierre JanninCharles E. KahnAlexandros KarargyrisAlan KarthikesalingamHannes KenngottAnnette Kopp-SchneiderAnna KreshukTahsin M. KurçBennett A. LandmanGeert LitjensAmin MadaniKlaus H. Maier-HeinAnne L. MartelPeter MattsonErik MeijeringBjoern H. MenzeDavid MoherKarel G. M. MoonsHenning MüllerFelix NickelBrennan NichyporukJens PetersenNasir RajpootNicola RiekeJulio Saez-RodriguezClarisa Sánchez GutiérrezShravya ShettyMaarten van SmedenCarole H. SudreRonald M. SummersAbdel A. TahaSotirios A. TsaftarisBen Van CalsterGaël VaroquauxPaul F. JägerPublished in: CoRR (2022)
Keyphrases
- image analysis
- pattern recognition
- visual inspection
- similarity metrics
- evaluation metrics
- remote sensing
- medical imaging
- image segmentation
- recommender systems
- neural network
- mathematical morphology
- image enhancement
- deformable models
- multispectral
- image processing
- computer vision
- genetic algorithm
- scale space
- user preferences
- collaborative filtering
- multiscale
- knowledge base
- computer aided
- image understanding
- texture analysis
- machine learning
- real world
- databases