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Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks

Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks

27 May 2017
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
ArXivPDFHTML

Papers citing "Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks"

10 / 10 papers shown
Title
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric
  Population: A Retrospective Study
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
S. Rajaraman
Feng Yang
Ghada Zamzmi
Z. Xue
Sameer Kiran Antani
23
0
0
04 Nov 2022
Chest X-Ray Bone Suppression for Improving Classification of
  Tuberculosis-Consistent Findings
Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
S. Rajaraman
Ghada Zamzmi
L. Folio
P. Alderson
Sameer Kiran Antani
24
41
0
09 Apr 2021
Quantifying and Leveraging Predictive Uncertainty for Medical Image
  Assessment
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Eli Gibson
...
Ramandeep Singh
S. Digumarthy
M. Kalra
Sasa Grbic
Dorin Comaniciu
UQCV
EDL
23
55
0
08 Jul 2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report
  Generation
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation
Mingjie Li
Fuyu Wang
Xiaojun Chang
Xiaodan Liang
MedIm
29
101
0
06 Jun 2020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in
  Chest X-rays
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
S. Rajaraman
Jenifer Siegelman
P. Alderson
Lucas S. Folio
L. Folio
Sameer Kiran Antani
16
265
0
16 Apr 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
17
68
0
12 Feb 2020
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance
  Study
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study
MD Tahsin Mostafiz
Khalid Ashraf
22
6
0
06 Dec 2018
XNet: A convolutional neural network (CNN) implementation for medical
  X-Ray image segmentation suitable for small datasets
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Aylett-Bullock
C. Cuesta-Lázaro
Arnau Quera-Bofarull
27
101
0
03 Dec 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and
  Localization on Chest X-rays
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan
Jiawen Yao
Ruoyu Li
Zheng Xu
Junzhou Huang
22
118
0
16 Jul 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
328
10,621
0
19 Feb 2017
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