A Radiomics Approach on Chest CT Distinguishes Primary Lung Cancer from Solitary Lung Metastasis in Colorectal Cancer Patients.
Jong Eun LeeLuu Ngoc DoWon Gi JeongHyo Jae LeeKum Ju ChaeYun Hyeon KimIlwoo ParkPublished in: Journal of personalized medicine (2022)
Our results suggested that the machine learning classifiers trained using radiomics features of SPN in CRC patients can be used to distinguish the primary LC and the solitary LM with a similar level of performance to radiologists.
Keyphrases
- machine learning
- end stage renal disease
- contrast enhanced
- ejection fraction
- artificial intelligence
- newly diagnosed
- chronic kidney disease
- lymph node metastasis
- peritoneal dialysis
- magnetic resonance imaging
- mass spectrometry
- magnetic resonance
- resistance training
- patient reported outcomes
- body composition
- deep learning
- high resolution
- rare case