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Performance Analysis of UNet and Variants for Medical Image Segmentation

Performance Analysis of UNet and Variants for Medical Image Segmentation

22 September 2023
Walid Ehab
Yongmin Li
    SSeg
ArXivPDFHTML

Papers citing "Performance Analysis of UNet and Variants for Medical Image Segmentation"

3 / 3 papers shown
Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
Rayan Merghani Ahmed
Adnan Iltaf
Mohamed Elmanna
Gang Zhao
Hongliang Li
Yue Du
Bin Li
Shoujun Zhou
211
0
0
07 Apr 2025
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
343
10,633
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
451
15,652
0
02 Nov 2015
1