Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer.
Jihwan ParkMi Jung RhoMi Hyoung MoonPublished in: PloS one (2024)
The trained model allows clinicians to focus on lung regions where cancer recurrence is more likely, acting as a significant aid in the detection and diagnosis of lung cancer. Serving as a clinical decision support system, it offers substantial support in managing lung cancer patients.
Keyphrases
- clinical decision support
- deep learning
- minimally invasive
- electronic health record
- free survival
- coronary artery bypass
- squamous cell carcinoma
- squamous cell
- machine learning
- artificial intelligence
- coronary artery disease
- convolutional neural network
- resistance training
- label free
- percutaneous coronary intervention
- quantum dots
- surgical site infection
- sensitive detection
- childhood cancer