Literature DB >> 33937785

Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia.

George Shih1, Carol C Wu1, Safwan S Halabi1, Marc D Kohli1, Luciano M Prevedello1, Tessa S Cook1, Arjun Sharma1, Judith K Amorosa1, Veronica Arteaga1, Maya Galperin-Aizenberg1, Ritu R Gill1, Myrna C B Godoy1, Stephen Hobbs1, Jean Jeudy1, Archana Laroia1, Palmi N Shah1, Dharshan Vummidi1, Kavitha Yaddanapudi1, Anouk Stein1.   

Abstract

This dataset is intended to be used for machine learning and is composed of annotations with bounding boxes for pulmonary opacity on chest radiographs which may represent pneumonia in the appropriate clinical setting. 2019 by the Radiological Society of North America, Inc.

Entities:  

Year:  2019        PMID： 33937785      PMCID： PMC8017407          DOI： 10.1148/ryai.2019180041

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


  2 in total

1.  Fleischner Society: glossary of terms for thoracic imaging.

Authors:  David M Hansell; Alexander A Bankier; Heber MacMahon; Theresa C McLoud; Nestor L Müller; Jacques Remy
Journal:  Radiology       Date:  2008-01-14       Impact factor: 11.105

2.  Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

Authors:  Pranav Rajpurkar; Jeremy Irvin; Robyn L Ball; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Ding; Aarti Bagul; Curtis P Langlotz; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Francis G Blankenberg; Jayne Seekins; Timothy J Amrhein; David A Mong; Safwan S Halabi; Evan J Zucker; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-20       Impact factor: 11.069
  2 in total
  23 in total

1.  Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

Authors:  Nishanth Arun; Nathan Gaw; Praveer Singh; Ken Chang; Mehak Aggarwal; Bryan Chen; Katharina Hoebel; Sharut Gupta; Jay Patel; Mishka Gidwani; Julius Adebayo; Matthew D Li; Jayashree Kalpathy-Cramer
Journal:  Radiol Artif Intell       Date:  2021-10-06

2.  Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.

Authors:  Ngo Fung Daniel Lam; Hongfei Sun; Liming Song; Dongrong Yang; Shaohua Zhi; Ge Ren; Pak Hei Chou; Shiu Bun Nelson Wan; Man Fung Esther Wong; King Kwong Chan; Hoi Ching Hailey Tsang; Feng-Ming Spring Kong; Yì Xiáng J Wáng; Jing Qin; Lawrence Wing Chi Chan; Michael Ying; Jing Cai
Journal:  Quant Imaging Med Surg       Date:  2022-07

3.  PNEUMONIA DETECTION ON CHEST X-RAY USING RADIOMIC FEATURES AND CONTRASTIVE LEARNING.

Authors:  Yan Han; Chongyan Chen; Ahmed Tewfik; Ying Ding; Yifan Peng
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2021-05-25

Review 4.  Deep Learning Approaches for Automatic Localization in Medical Images.

Authors:  H Alaskar; A Hussain; B Almaslukh; T Vaiyapuri; Z Sbai; Arun Kumar Dubey
Journal:  Comput Intell Neurosci       Date:  2022-06-29

5.  A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays.

Authors:  Sivaramakrishnan Rajaraman; Peng Guo; Zhiyun Xue; Sameer K Antani
Journal:  Diagnostics (Basel)       Date:  2022-06-11

6.  REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays.

Authors:  Ricardo Bigolin Lanfredi; Mingyuan Zhang; William F Auffermann; Jessica Chan; Phuong-Anh T Duong; Vivek Srikumar; Trafton Drew; Joyce D Schroeder; Tolga Tasdizen
Journal:  Sci Data       Date:  2022-06-18       Impact factor: 8.501

7.  Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19.

Authors:  Brian Hurt; Meagan A Rubel; Evan M Masutani; Kathleen Jacobs; Lewis Hahn; Michael Horowitz; Seth Kligerman; Albert Hsiao
Journal:  J Thorac Imaging       Date:  2022-03-01       Impact factor: 5.528

8.  Unsupervised Deep Anomaly Detection in Chest Radiographs.

Authors:  Takahiro Nakao; Shouhei Hanaoka; Yukihiro Nomura; Masaki Murata; Tomomi Takenaga; Soichiro Miki; Takeyuki Watadani; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe
Journal:  J Digit Imaging       Date:  2021-02-08       Impact factor: 4.056

9.  Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging.

Authors:  José Daniel López-Cabrera; Rubén Orozco-Morales; Jorge Armando Portal-Diaz; Orlando Lovelle-Enríquez; Marlén Pérez-Díaz
Journal:  Health Technol (Berl)       Date:  2021-02-05

10.  Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings.

Authors:  Sivaramakrishnan Rajaraman; Ghada Zamzmi; Les Folio; Philip Alderson; Sameer Antani
Journal:  Diagnostics (Basel)       Date:  2021-05-07
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