Jun 28, 2022 · Conclusion: We demonstrated the usefulness of DCNN in predicting postoperative recurrence of lung adenocarcinoma using preoperative CT images.

Jun 28, 2022 · We propose a computer-aided diagnosis (CAD) system that predicts postoperative recurrence from computed tomography (CT) images acquired before surgery.

Jun 28, 2022 · We propose a computer-aided diagnosis (CAD) system that predicts postoperative recurrence from computed tomography (CT) images acquired before surgery.

Thus, in this study, we propose a computer-aided diagnosis (CAD) system that predicts postoperative recurrence from computed tomography (CT) images acquired ...

May 12, 2020 · A deep learning model for chest CT predicted disease-free survival for patients undergoing an operation for clinical stage I lung adenocarcinoma.

May 2, 2023 · The current study proposes an artificial intelligence-based model for early predicting recurrence risk in patients affected by NSCLC exploiting ...

Conclusion: A deep learning model for chest CT predicted disease-free survival for patients undergoing an operation for clinical stage I lung adenocarcinoma.

Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT. https://doi.org/10.1007/s11548-022-02694-0.

Jan 30, 2024 · A study used a preoperative machine learning model to predict lung cancer recurrence.

Aug 27, 2022 · We developed an integrated deep learning evaluation (IDLE) score to combine patient's preoperative lung CT image findings and postoperative pathologic ...