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: Medical Image Anal. (2024)
Keyphrases
- breast cancer
- automatic registration
- breast tissue
- dce mri
- multi sensor
- diagnosis of breast cancer
- image registration
- logistic regression
- breast cancer diagnosis
- aerial images
- computer aided diagnosis
- three dimensional
- disease progression
- tissue classification
- image analysis
- image fusion
- data fusion
- mammogram images
- breast cancer patients
- bladder cancer
- semi automatic
- feature selection