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Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers
  Are?

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

17 January 2022
I. Sobirov
Otabek Nazarov
Hussain Alasmawi
Mohammad Yaqub
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?"

4 / 4 papers shown
Title
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
E. Jun
Seungwoo Jeong
Da-Woon Heo
Heung-Il Suk
ViT
MedIm
26
42
0
28 Apr 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
198
890
0
16 Feb 2021
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
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
278
10,608
0
19 Feb 2017
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