CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Jieneng ChenYingda XiaJiawen YaoKe YanJianpeng ZhangLe LuFakai WangBo ZhouMingyan QiuQihang YuMingze YuanWei FangYuxing TangMinfeng XuJian ZhouYuqian ZhaoQifeng WangXianghua YeXiaoli YinYu ShiXin ChenJingren ZhouAlan L. YuilleZaiyi LiuLing ZhangPublished in: ICCV (2023)
Keyphrases
- unified model
- ct scans
- fracture detection
- ct images
- computer aided detection
- automated segmentation
- computed tomography
- computer tomography
- medical images
- bone segmentation
- image segmentation
- cancer diagnosis
- x ray
- x ray images
- organ segmentation
- level set
- registration process
- medical diagnosis
- abdominal organs
- decision trees
- high quality
- shape prior
- object reconstruction
- breast cancer
- image analysis
- rigid registration
- liver segmentation
- pattern recognition
- early diagnosis
- pulmonary nodules
- region of interest
- computer aided diagnosis
- accurate segmentation
- segmentation method
- ct data