Description
CheXNet is a 121-layer DenseNet trained on ChestX-ray14 for pneumonia detection.
Papers Using This Method
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification2025-05-10Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification2025-03-22Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods2024-11-18Calibrating Deep Neural Network using Euclidean Distance2024-10-23Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification2024-06-06COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images2022-12-19A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification2022-08-01Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet2021-05-18Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study2021-04-21Automated radiology report generation using conditioned transformers2021-03-26Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis2020-09-29PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention2020-08-11COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning2020-06-16Advance Warning Methodologies for COVID-19 using Chest X-Ray Images2020-06-07Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement2020-05-13Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging2019-12-08Machine Learning for Exam Triage2018-04-30CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning2017-11-14