Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

1. 1Implement a longitudinal context-aware tracking algorithm using deep learning techniques
2. 2Integrate clinician-verified interactive lesion tracking into the algorithm
3. 3Test the algorithm on a dataset of serial CT scans
4. 4Evaluate the performance of the algorithm using metrics such as accuracy and robustness
5. 5Refine the algorithm based on the evaluation results

Radiologists and medical imaging analysts can benefit from this technique to improve the accuracy of tumor lesion tracking, while software engineers can develop and integrate this method into existing medical imaging systems

💡 Exploiting longitudinal context in clinician-verified interactive lesion tracking can improve accuracy in ambiguous cases

📸 Improve tumor lesion tracking accuracy with longitudinal context-aware tracking algorithm 📊