Bayesian-Optimized Convolutional Neural Networks for Classifying Primary Tumor Origin of Brain Metastases from MRI

Bayesian-Optimized Convolutional Neural Networks for Classifying Primary Tumor Origin of Brain Metastases from MRI

<b>Background/Objectives</b>: This study evaluates whether convolutional neural networks (CNNs) can be trained to determine the primary tumor origin from MRI images alone in patients with metastatic brain lesions. <b>Methods</b>: This retrospective, monocentric study involved...

Full description

Saved in:
Bibliographic Details
Main Authors: Jawed Nawabi, Semil Eminovic, Alexander Hartenstein, Georg Lukas Baumgaertner, Nils Schnurbusch, Madhuri Rudolph, David Wasilewski, Julia Onken, Eberhard Siebert, Edzard Wiener, Georg Bohner, Andrea Dell'Orco, Mike P. Wattjes, Bernd Hamm, Uli Fehrenbach, Tobias Penzkofer
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Brain Sciences
Subjects:
brain metastases
neural networks
Bayesian optimization
Online Access:https://www.mdpi.com/2076-3425/15/5/450
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3425/15/5/450

Similar Items