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Integrating Edges into U-Net Models with Explainable Activation Maps for
  Brain Tumor Segmentation using MR Images

Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images

2 January 2024
Subin Sahayam
Umarani Jayaraman
ArXivPDFHTML

Papers citing "Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images"

4 / 4 papers shown
Title
Integrating Edge Information into Ground Truth for the Segmentation of
  the Optic Disc and Cup from Fundus Images
Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
Yoga Sri Varshan V
Hitesh Gupta Kattamuri
Subin Sahayam
Umarani Jayaraman
27
0
0
09 Aug 2024
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
R. Agravat
M. Raval
11
28
0
25 Aug 2020
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall
  Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
38
224
0
03 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
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