MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
Jianning LiAntonio PepeChristina GsaxnerGijs LuijtenYuan JinNarmada AmbigapathyEnrico NascaNaida SolakGian Marco MelitoAfaque R. MemonXiaojun ChenJan Stefan KirschkeEzequiel de la RosaPatrick Ferndinand ChristHongwei Bran LiDavid G. EllisMichele R. AizenbergSergios GatidisThomas KüstnerNadya ShusharinaNicholas HellerVincent AndrearczykAdrien DepeursingeMathieu HattAnjany SekuboyinaMaximilian LöfflerHans LieblReuben DorentTom VercauterenJonathan ShapeyAaron KujawaStefan CornelissenPatrick LangenhuizenAchraf Ben-HamadouAhmed RekikSergi PujadesEdmond BoyerFederico BolelliCostantino GranaLuca LumettiHamidreza SalehiJun MaYao ZhangRamtin GharleghiSusann BeierArcot SowmyaEduardo A. Garza-VillarrealThania Balducciet al.Published in: CoRR (2023)
Keyphrases
- computer vision
- shape matching
- medical imaging
- object recognition
- shape analysis
- real life
- small scale
- pattern recognition
- benchmark datasets
- medical domain
- shape recognition
- medical diagnosis
- computer graphics
- geometric shapes
- signal processing
- computer vision algorithms
- optical flow
- face recognition
- image understanding
- shape descriptors
- medical data
- medical experts
- shape representation
- web scale
- three dimensional objects
- camera calibration
- image matching
- pose estimation
- vision system
- image features
- million images
- three dimensional
- image processing
- patient records
- rule interestingness measures
- statistical shape model
- neural network
- training dataset
- medial axis
- structure from motion
- face detection
- image analysis
- machine learning