Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations.
Usamah N. ChaudharyKa'Toria N. LeitchAvneesh ChhabraAjay KohliBaowei FeiPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Keyphrases
- ct images
- deep learning
- liver segmentation
- inter patient
- ct volume
- surgical procedures
- medical images
- computer tomography
- treatment planning
- computed tomography
- medical imaging
- radiation therapy
- imaging modalities
- medical image processing
- ct scans
- fully automatic
- medical image segmentation
- ct data
- pet ct
- lung nodules
- minimally invasive
- unsupervised learning
- medical data
- chronic obstructive pulmonary disease
- automated segmentation
- image guided
- fracture detection
- intraoperative
- machine learning
- respiratory motion
- weakly supervised
- region of interest
- data mining
- ct imaging
- minimally invasive surgery
- mental models
- magnetic resonance imaging
- x ray
- multiscale
- pre operative
- positron emission tomography
- segmentation method
- magnetic resonance images
- accurate segmentation