HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images.
Yongtao ZhangBaiying LeiChao FuJie DuXinjian ZhuXiaowei HanLei DuWenwen GaoTianfu WangGuolin MaPublished in: ISBI (2020)
Keyphrases
- ct images
- medical images
- treatment planning
- medical imaging
- computed tomography
- pet ct
- lung nodules
- liver segmentation
- fracture detection
- computer tomography
- ct scans
- anatomical knowledge
- lymph nodes
- bone segmentation
- contrast enhanced
- image segmentation
- pet images
- brain tumors
- lung parenchyma
- ground glass opacity
- fully automatic
- medical image segmentation
- magnetic resonance
- accurate segmentation
- medical image analysis
- x ray images
- level set
- anatomical structures
- image guided
- segmentation algorithm
- ct data
- object reconstruction
- radiation therapy
- lung cancer
- imaging modalities
- magnetic resonance imaging
- region of interest
- breast cancer
- x ray
- image analysis
- three dimensional
- automated segmentation
- computer vision
- computer aided diagnosis
- mr images
- image processing