Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

19 January 2021

Papers citing "Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms"

5 / 5 papers shown

Title
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 22 2 0 10 Apr 2023
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting D. Bouget André Pedersen A. Jakola V. Kavouridis K. Emblem ... M. Witte A. Zwinderman P. D. W. Hamer O. Solheim Ingerid Reinertsen 24 21 0 29 Apr 2022
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features Xue Feng Nicholas J. Tustison C. Meyer 35 224 0 03 Dec 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip H. S. Torr 48 436 0 06 Apr 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,595 0 02 Nov 2015