The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.
Philippe WeitzMasi ValkonenLeslie SolorzanoCirce CarrKimmo KartasaloConstance BoissinSonja KoivukoskiAino KuuselaDusan RasicYanbo FengSandra Kristiane Sinius PouplierAbhinav SharmaKajsa Ledesma ErikssonStephanie RobertsonChristian MarzahlChandler D. GatenbeeAlexander R. A. AndersonMarek WodzinskiArtur JurgasNiccolò MariniManfredo AtzoriHenning MüllerDaniel BudelmannNick WeissStefan HeldmannJohannes LotzJelmer M. WolterinkBruno De SantiAbhijeet PatilAmit SethiSatoshi KondoSatoshi KasaiKousuke HirasawaMahtab FarrokhNeeraj KumarRussell GreinerLeena LatonenAnne-Vibeke LaenkholmJohan HartmanPekka RuusuvuoriMattias RantalainenPublished in: CoRR (2023)
Keyphrases
- breast cancer
- automatic registration
- breast tissue
- dce mri
- diagnosis of breast cancer
- computer aided diagnosis
- multi sensor
- breast cancer diagnosis
- logistic regression
- aerial images
- three dimensional
- mammogram images
- cad systems
- image analysis
- image registration
- tissue classification
- pairwise
- disease progression
- mri data
- breast cancer patients
- data fusion
- bladder cancer