Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Carole H. SudreKimberlin M. H. van WijnenFlorian DubostHieab AdamsDavid AtkinsonFrederik BarkhofMahlet A. BirhanuEsther E. BronRobin CamarasaNish ChaturvediYuan ChenZihao ChenShuai ChenQi DouTavia E. EvansIvan EzhovHaojun GaoMarta Gironés-SangüesaJuan Domingo GispertBeatriz Gomez AnsonAlun D. HughesMohammad Arfan IkramSilvia IngalaHans Rolf JägerFlorian KoflerHugo J. KuijfDenis KutnarMinho LeeBo LiLuigi LorenziniBjoern H. MenzeJosé Luis MolinuevoYiwei PanÉlodie PuybareauRafael RehwaldRuisheng SuPengcheng ShiLorna SmithTherese TillinGuillaume TochonHélène UrienBas H. M. van der VeldenIsabelle F. van der VelpenBenedikt WiestlerFrank J. WoltersPinar YilmazMarius de GrootMeike W. VernooijMarleen de BruijnePublished in: CoRR (2022)
Keyphrases
- lesion segmentation
- grand challenge
- tubular structures
- segmentation algorithm
- dermoscopy images
- image segmentation
- vessel segmentation
- level set
- segmentation method
- automatic detection
- medical images
- diabetic retinopathy
- reliable detection
- computer aided detection
- detection algorithm
- digital mammograms
- image analysis
- bounding box
- brain mri
- lesion detection
- complex background
- computer aided diagnosis
- blood vessels
- object segmentation
- fully automatic
- object detection
- multiscale
- multiple sclerosis lesions
- rib cage
- fundus images
- multiple sclerosis
- region growing
- breast mri
- automated detection
- retinal images