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Acute ischemic stroke lesion segmentation in non-contrast CT images
  using 3D convolutional neural networks

Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

17 January 2023
A. Dobshik
S. Verbitskiy
I. Pestunov
K. Sherman
Yuriy Sinyavskiy
A. Tulupov
V. Berikov
ArXivPDFHTML

Papers citing "Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks"

2 / 2 papers shown
Title
Synchronous Image-Label Diffusion Probability Model with Application to
  Stroke Lesion Segmentation on Non-contrast CT
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT
Jianhai Zhang
Tonghua Wan
Ethan MacDonald
B. Menon
A. Ganesh
Qiu Wu
DiffM
MedIm
22
1
0
04 Jul 2023
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
138
426
0
09 Mar 2020
1