Tripath outperforms baselines to predict cancer recurrence (IMAGE)

Mass General Brigham

Tripath outperforms baselines to predict cancer recurrence

Caption

Tripath (far right), which utilizes 3D deep learning and the whole tissue volume, is able to outperform the current clinical baseline (far left) and 2D deep learning baselines (middle) on cancer recurrence risk prediction task.

Credit

Andrew H. Song, Brigham and Women's Hospital

Usage Restrictions

Reporters may use this image in news stories covering the paper by Song et al. in Cell.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.