Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI

Author:

Dikici Engin,Nguyen Xuan V.,Bigelow Matthew,Prevedello Luciano M.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference37 articles.

1. Computing receptive fields of convolutional neural networks;Araujo;Distill,2019

2. Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data;Bousabarah;Radiat. Oncol.,2020

3. Automatic detection and segmentation of multiple brain metastases on magnetic resonance image using asymmetric UNet architecture;Cao;Phys. Med. Biol.,2021

4. Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network;Charron;Comput. Biol. Med.,2018

5. Brain metastasis detection using machine learning: a systematic review and meta-analysis;Cho;Neurol. Oncol.,2021

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