Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
Mohit AgarwalSushant AgarwalLuca SabaGian Luca ChabertSuneet K. GuptaAlessandro CarrieroAlessio PaschePietro DannaArmin MehmedovicGavino FaaSaurabh ShrivastavaKanishka JainHarsh JainTanay JujarayInder M. SinghMonika TurkParamjit S. ChadhaAmer M. JohriNarendra N. KhannaSophie MavrogeniJohn R. LairdDavid W. SobelMartin MinerAntonella BalestrieriPetros P. SfikakisGeorge TsoulfasDurga Prasanna MisraVikas AgarwalGeorge D. KitasJagjit S. TejiMustafa Al-MainiSurinder K. DhanjilAndrew NicolaidesAditya SharmaVijay RathoreMostafa FatemiAzra AlizadPudukode R. KrishnanRajanikant R. YadavFrence NagyZsigmond Tamás KincsesZoltan RuzsaSubbaram NaiduKlaudija ViskovicManudeep K. KalraJasjit S. SuriPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- computed tomography
- ct images
- medical images
- learning models
- medical imaging
- ct scans
- pet images
- ct data
- three dimensional
- image segmentation
- lung nodules
- image reconstruction
- lymph nodes
- learning algorithm
- x ray
- segmentation method
- loss function
- segmentation algorithm
- active learning
- image analysis
- computer aided
- region of interest
- level set
- information extraction
- fracture detection