Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models.
Matteo FerranteLisa RinaldiFrancesca BottaXiaobin HuAndreas DolpMarta MinottiFrancesca De PianoGianluigi FunicelliStefania VolpeFederica BellerbaPaolo De MarcoSara RaimondiStefania RizzoKuangyu ShiMarta CremonesiBarbara Alicja Jereczek-FossaLorenzo SpaggiariFilippo De MarinisRoberto OrecchiaDaniela OriggiPublished in: CoRR (2022)
Keyphrases
- ct images
- automatic segmentation
- ct data
- computed tomography
- computed tomography images
- medical images
- ct scans
- pet images
- liver segmentation
- manual segmentation
- region of interest
- segmentation algorithm
- semi automatic segmentation
- computer tomography
- lymph nodes
- medical imaging
- accurate segmentation
- lung nodules
- chest ct scans
- pulmonary nodules
- image reconstruction
- pet ct
- lung parenchyma
- mr images
- ground truth
- image analysis
- vessel tree
- three dimensional
- image segmentation