Automatic Detection of Puncture Needle from CT Image with Deep Learning and Difference of CT Value Along Craniocaudal Direction.
Seiya KobayashiYuichiro TodaTakayuki MatsunoKotaro MayumiWataru MuramotoNozomu FujitsukaTakaaki TanakaTetsushi KamegawaTakao HirakiPublished in: SMC (2023)
Keyphrases
- automatic detection
- deep learning
- ct images
- computed tomography
- lymph nodes
- ct scans
- medical images
- medical imaging
- computer tomography
- unsupervised learning
- inter patient
- image guided
- machine learning
- ct volume
- soft tissue
- ct data
- image reconstruction
- weakly supervised
- lung parenchyma
- lung nodules
- mental models
- three dimensional
- minimally invasive
- pulmonary nodules
- region of interest
- ground glass opacity
- magnetic resonance images
- cone beam
- low dose
- deformable models