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Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer

Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer

5 October 2018
Ashnil Kumar
M. Fulham
D. Feng
Jinman Kim
    MedIm
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Papers citing "Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer"

5 / 5 papers shown
Title
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
Surochita Pal
S. Mitra
MedIm
60
0
0
31 Jan 2025
A cascaded deep network for automated tumor detection and segmentation
  in clinical PET imaging of diffuse large B-cell lymphoma
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
Shadab Ahamed
Natalia Dubljevic
I. Bloise
C. Gowdy
Patrick Martineau
Don C. Wilson
C. Uribe
Arman Rahmim
F. Yousefirizi
MedIm
16
3
0
11 Mar 2024
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for
  Automated Nerve Identification
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
Baijun Xie
Gary Milam
B. Ning
J. Cha
C. Park
MedIm
25
7
0
27 Feb 2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and
  Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk
Valentin Oreiller
S. Boughdad
C. Cheze-le-Rest
H. Elhalawani
...
John O. Prior
M. Vallières
D. Visvikis
M. Hatt
A. Depeursinge
25
82
0
11 Jan 2022
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
Theresa Neubauer
M. Wimmer
Astrid Berg
David Major
Dimitrios Lenis
T. Beyer
J. Saponjski
Katja Bühler
13
7
0
28 Aug 2020
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