CheXNet is a 121-layer DenseNet trained on ChestX-ray14 for pneumonia detection.

Source: CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Latest Papers

PAPER DATE
PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention
Sanskriti Singh
2020-08-11
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
| Arman HaghanifarMahdiyar Molahasani MajdabadiYounhee ChoiS. DeivalakshmiSeokbum Ko
2020-06-16
A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images
Mete AhishaliAysen DegerliMehmet YamacSerkan KiranyazMuhammad E. H. ChowdhuryKhalid HameedTahir HamidRashid MazharMoncef Gabbouj
2020-06-07
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement
Minh-Chuong HuynhTrung-Hieu NguyenMinh-Triet Tran
2020-05-13
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging
John R. ZechJessica Zosa FordeMichael L. Littman
2019-12-08
Machine Learning for Exam Triage
Xinyu GuanJessica LeePeter WuYue Wu
2018-04-30
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
| Pranav RajpurkarJeremy IrvinKaylie ZhuBrandon YangHershel MehtaTony DuanDaisy DingAarti BagulCurtis LanglotzKatie ShpanskayaMatthew P. LungrenAndrew Y. Ng
2017-11-14

Tasks

TASK PAPERS SHARE
Pneumonia Detection 2 50.00%
Decision Making 1 25.00%
Image Classification 1 25.00%

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