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Negligible effect of brain MRI data preprocessing for tumor segmentation

Negligible effect of brain MRI data preprocessing for tumor segmentation

11 April 2022
E. Kondrateva
Polina Druzhinina
A. Dalechina
S. Zolotova
A. Golanov
B. Shirokikh
Mikhail Belyaev
Anvar Kurmukov
ArXivPDFHTML

Papers citing "Negligible effect of brain MRI data preprocessing for tumor segmentation"

4 / 4 papers shown
Title
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
B. Shirokikh
Anvar Kurmukov
Mariia Donskova
Valentin Samokhin
Mikhail Belyaev
Ivan V. Oseledets
OOD
37
0
0
24 Feb 2025
Optimized U-Net for Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
SSeg
27
90
0
07 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
207
487
0
01 Oct 2021
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
135
426
0
09 Mar 2020
1