Luigi Tommaso

Featured in: Favicon

academic.oup.com

Articles

Deep Learning-Based Postoperative Glioblastoma Segmentation and Extent of Resection Evaluation: Development, External Validation, and Model Comparison

Nov 16, 2024 | academic.oup.com | Castilla-La Mancha |Luigi Tommaso |Luca Maria Francesco

The pursuit of automated methods to assess the extent of resection (EOR) in glioblastomas is challenging, requiring precise measurement of residual tumor volume. Many algorithms focus on preoperative scans, making them unsuitable for postoperative studies. Our objective was to develop a deep learning-based model for postoperative segmentation using magnetic resonance imaging (MRI). We also compared our model's performance with other available algorithms.
Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models

Apr 17, 2024 | arxiv.org | Luigi Tommaso

Contact details

Emails

[email protected]

Socials & Sites

Try JournoFinder For Free

Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.

Start Your 7-Day Free Trial →