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KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image
  and Volumetric Segmentation

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

4 October 2020
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
I. Hacihaliloglu
Vishal M. Patel
    SSeg
ArXivPDFHTML

Papers citing "KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation"

9 / 9 papers shown
Title
Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual
  Transformer
Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
Thien-Qua T. Nguyen
Hieu-Nghia Nguyen
Thanh-Hieu Bui
Thien B. Nguyen-Tat
V. M. Ngo
ViT
MedIm
25
1
0
11 Jul 2024
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with
  Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of
  Medical Images
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Md. Rayhan Ahmed
Adnan Ferdous Ashrafi
R. Ahmed
Swakkhar Shatabda
A. Muzahidul Islam
Salekul Islam
SSeg
28
20
0
25 Nov 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
19
6
0
26 Oct 2022
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet
  Architecture
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
N. Zioulis
G. Albanis
Petros Drakoulis
Federico Álvarez
D. Zarpalas
P. Daras
18
11
0
11 Jul 2022
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li
Hong Yu
Chen Chen
Meng Ding
Sen Zha
9
13
0
29 Mar 2022
UNeXt: MLP-based Rapid Medical Image Segmentation Network
UNeXt: MLP-based Rapid Medical Image Segmentation Network
Jeya Maria Jose Valanarasu
Vishal M. Patel
SSeg
27
477
0
09 Mar 2022
Overcomplete Deep Subspace Clustering Networks
Overcomplete Deep Subspace Clustering Networks
Jeya Maria Jose Valanarasu
Vishal M. Patel
14
15
0
16 Nov 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1