Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

30 January 2018

Liang Zheng

Yi Yang

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Papers citing "Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification"

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Title
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study Isarun Chamveha T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon 24 5 0 23 Apr 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels Daizong Liu Shuangjie Xu Pan Zhou Kun He Wei Wei Zichuan Xu 32 1 0 26 Feb 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 95 170 0 13 Feb 2020
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head Yang Li Yan Li H. Tian MedIm 52 18 0 12 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej A. Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 93 71 0 12 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 47 20 0 23 Jan 2020
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels Hieu H. Pham T. Le Dat Q. Tran Dat Ngo H. Nguyen 107 32 0 15 Nov 2019
Localization with Limited Annotation for Chest X-rays Eyal Rozenberg Daniel Freedman A. Bronstein 44 17 0 19 Sep 2019
Semi-Supervised Multi-Task Learning With Chest X-Ray Images A. Imran Demetri Terzopoulos SSL MedIm 63 32 0 10 Aug 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Florin-Cristian Ghesu Bogdan Georgescu Eli Gibson Sebastian Gündel Mannudeep K. Kalra Ramandeep Singh S. Digumarthy Sasa Grbic Dorin Comaniciu UQCV 55 46 0 18 Jun 2019
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms Zhusi Zhong Jie Li Zhenxi Zhang Zhicheng Jiao Xinbo Gao 60 106 0 17 Jun 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels Sebastian Gündel Florin-Cristian Ghesu Sasa Grbic Eli Gibson Bogdan Georgescu Andreas Maier Dorin Comaniciu 70 25 0 15 May 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 95 621 0 22 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 218 2,613 0 21 Jan 2019
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain Liyue Shen K. Shpanskaya Edward H. Lee Emily McKenna Maryam Maleki Quin Lu S. Halabi John M. Pauly K. Yeom 43 8 0 09 Dec 2018
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides Naofumi Tomita B. Abdollahi Jason W. Wei Bing Ren A. Suriawinata Saeed Hassanpour MedIm 82 171 0 20 Nov 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 191 96 0 30 Oct 2018
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach Worawate Ausawalaithong S. Marukatat Arjaree Thirach Theerawit Wilaiprasitporn MedIm 51 148 0 31 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 108 1,483 0 22 Aug 2018
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization Yan Shen Mingchen Gao MedIm 66 53 0 17 Aug 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 69 120 0 16 Jul 2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks Jonathan Rubin Deepan Sanghavi Claire Zhao Kathy Lee Ashequl Qadir M. Xu-Wilson MedIm 60 84 0 20 Apr 2018
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection Jo Schlemper Ozan Oktay Liang Chen Jacqueline Matthew C. Knight Bernhard Kainz Ben Glocker Daniel Rueckert 89 93 0 15 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 63 123 0 21 Mar 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks Sebastian Gündel Sasa Grbic Bogdan Georgescu S. Kevin Zhou L. Ritschl A. Meier Dorin Comaniciu 72 195 0 12 Mar 2018