Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning.
Emre EgribozFurkan KaynarSongül Varli AlbayrakBenan MüsellimTuba SelçukPublished in: CoRR (2018)
Keyphrases
- computed tomography
- ct images
- three dimensional
- region of interest
- deep learning
- ct scans
- input image
- low dose
- medical images
- image features
- medical imaging
- image reconstruction
- lymph nodes
- image analysis
- image regions
- ct data
- pet ct
- image data
- accurate segmentation
- image registration
- lung nodules
- lung cancer patients
- positron emission tomography
- ground truth
- natural images
- object recognition
- lung cancer
- pet images