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Fully Convolutional Architectures for Multi-Class Segmentation in Chest
  Radiographs

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

30 January 2017
A. A. Novikov
Dimitrios Lenis
David Major
J. Hladůvka
M. Wimmer
Katja Bühler
    SSeg
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Papers citing "Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs"

16 / 16 papers shown
Title
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
Interpretation of Chest x-rays affected by bullets using deep transfer
  learning
Interpretation of Chest x-rays affected by bullets using deep transfer learning
Shaheer Khan
Azib Farooq
Israr Khan
Muhammad Gulraiz Khan
Abdul Razzaq
MedIm
19
0
0
25 Mar 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
33
7
0
24 Jan 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
A. Genç
L. Kovarik
H. Fraser
37
15
0
18 Jan 2022
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature
  Review
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
M. Ahsan
Zahed Siddique
8
246
0
13 Dec 2021
Attention Toward Neighbors: A Context Aware Framework for High
  Resolution Image Segmentation
Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation
Fahim Faisal Niloy
M. A. Amin
A. Ali
A. Rahman
SSeg
19
4
0
24 Jun 2021
Adversarial Attack Driven Data Augmentation for Accurate And Robust
  Medical Image Segmentation
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Mst. Tasnim Pervin
Li Tao
A. Huq
Zuoxiang He
Li Huo
AAML
OOD
MedIm
25
9
0
25 May 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
24
316
0
15 Mar 2021
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
  Denoising Autoencoders
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Ben Glocker
Enzo Ferrante
27
65
0
24 Jun 2020
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via
  Filtered Jaccard Loss Function and Parametric Augmentation
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
S. Mohajerani
Parvaneh Saeedi
11
22
0
23 Jan 2020
Deep learning on edge: extracting field boundaries from satellite images
  with a convolutional neural network
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
F. Waldner
F. Diakogiannis
18
199
0
26 Oct 2019
UPI-Net: Semantic Contour Detection in Placental Ultrasound
UPI-Net: Semantic Contour Detection in Placental Ultrasound
Huan Qi
S. Collins
J. A. Noble
24
7
0
31 Aug 2019
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of
  Astronomical Image Data
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
R. Hausen
B. Robertson
27
67
0
26 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
24
1,277
0
01 Apr 2019
Improving the Segmentation of Anatomical Structures in Chest Radiographs
  using U-Net with an ImageNet Pre-trained Encoder
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder
Maayan Frid-Adar
Avi Ben-Cohen
Rula Amer
H. Greenspan
SSeg
AI4CE
21
63
0
04 Oct 2018
Accurate Lung Segmentation via Network-Wise Training of Convolutional
  Networks
Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks
Sangheum Hwang
Sunggyun Park
SSeg
18
45
0
02 Aug 2017
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