ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.10612
  4. Cited By
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma
  Segmentation in MRI Scans

Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans

20 October 2020
M. Hamghalam
Baiying Lei
Tianfu Wang
    MedIm
ArXivPDFHTML

Papers citing "Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans"

3 / 3 papers shown
Title
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Ramtin Mojtahedi
M. Hamghalam
Richard K G Do
Amber L. Simpson
ViT
MedIm
20
7
0
31 Aug 2023
Attention-based CT Scan Interpolation for Lesion Segmentation of
  Colorectal Liver Metastases
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
M. Hamghalam
Richard K G Do
Amber L. Simpson
MedIm
22
4
0
30 Aug 2023
Adaptive feature recombination and recalibration for semantic
  segmentation: application to brain tumor segmentation in MRI
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI
Sérgio Pereira
Victor Alves
Carlos Alberto Silva
21
46
0
06 Jun 2018
1