Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Contributeurs/tricesShiri Lord, Isaac ; Amini, Mehdi ; Nazari, Mostafa; Hajianfar, Ghasem; Haddadi Avval, Atlas; Abdollahi, Hamid; Oveisi, Mehrdad ; Arabi, Hossein; Rahmim, Arman ; Zaidi, Habib
Publié dansComputers in biology and medicine, vol. 142, 105230
Date de publication2022-03
Date de mise en ligne2022-01-11
Résumé
Mots-clés
- Artificial intelligence
- Computed tomography
- Harmonization
- Imaging genomics
- Non-small cell lung cancer
- Positron emission tomography
- Carcinoma, Non-Small-Cell Lung / diagnostic imaging
- Carcinoma, Non-Small-Cell Lung / genetics
- ErbB Receptors / genetics
- Humans
- Lung Neoplasms / diagnostic imaging
- Lung Neoplasms / genetics
- Lung Neoplasms / pathology
- Mutation / genetics
- Positron Emission Tomography Computed Tomography / methods
- Proto-Oncogene Proteins p21(ras) / genetics
Structure d'affiliation
Groupe de recherche
Financement
- Swiss National Science Foundation - Towards patient-specific hybrid whole-body PET parametric imaging [320030_176052]
- BC Cancer Foundation (Vancouver) -
Citation (format ISO)
SHIRI LORD, Isaac et al. Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. In: Computers in biology and medicine, 2022, vol. 142, p. 105230. doi: 10.1016/j.compbiomed.2022.105230
Fichiers principaux (1)
Article (Published version)
Fichiers secondaires (1)
Identifiants
- PID : unige:164998
- DOI : 10.1016/j.compbiomed.2022.105230
- PMID : 35051856
ISSN du journal0010-4825