Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
Mitko VetaYujing J. HengNikolas StathonikosBabak Ehteshami BejnordiFrancisco BecaThomas WollmannKarl RohrManan A. ShahDayong WangMikaël RoussonMartin HedlundDavid TellezFrancesco CiompiErwan ZerhouniDavid LanyiMatheus Palhares VianaVassili KovalevVitali LiauchukHady Ahmady PhouladyTalha QaiserSimon GrahamNasir M. RajpootErik SjöblomJesper MolinKyunghyun PaengSangheum HwangSunggyun ParkZhipeng JiaEric I-Chao ChangYan XuAndrew H. BeckPaul J. van DiestJosien P. W. PluimPublished in: CoRR (2018)
Keyphrases
- image database
- image features
- image data
- input image
- image collections
- object recognition
- image analysis
- ground truth
- image registration
- test images
- image matching
- three dimensional
- segmentation algorithm
- gabor filters
- fully automatic
- image classification
- segmentation method
- computer vision
- image structure
- image retrieval
- synthetic and real images
- keypoints
- texture features
- edge detection
- image understanding
- image set
- multiresolution
- image processing algorithms
- rigid body