Fully Convolutional Architectures for Multi-Class Segmentation in Chest
Radiographs

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

30 January 2017

Dimitrios Lenis

David Major

Katja Bühler

Papers citing "Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs"

18 / 18 papers shown

Title
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 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 M. J. Horry Subrata Chakraborty B. Pradhan M. Paul Jing Zhu H. Loh P. Barua Usha R. Acharya AI4CE 38 7 0 24 Jan 2022
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 M. Ahsan Zahed Siddique 14 246 0 13 Dec 2021
Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation Fahim Faisal Niloy M. A. Amin A. Ali A. Rahman SSeg 21 4 0 24 Jun 2021
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 Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 317 0 15 Mar 2021
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 S. Mohajerani Parvaneh Saeedi 11 22 0 23 Jan 2020
Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks Mohammed S. Majdi M. Keerthivasan B. Rutt N. Zahr Jeffrey J. Rodríguez M. Saranathan 27 0 0 16 Dec 2019
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations Gerda Bortsova Florian Dubost Laurens Hogeweg Ioannis Katramados Marleen de Bruijne 14 178 0 04 Nov 2019
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network F. Waldner F. Diakogiannis 24 200 0 26 Oct 2019
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 R. Hausen B. Robertson 27 67 0 26 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 24 1,282 0 01 Apr 2019
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 Sangheum Hwang Sunggyun Park SSeg 21 45 0 02 Aug 2017