Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks

14 August 2021

Papers citing "Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks"

7 / 7 papers shown

Title
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity Mohammad Zunaed Anwarul Hasan Taufiq Hasan 69 0 0 19 Apr 2024
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 85 1 0 01 Apr 2023
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation Hieu H. Pham Khiem H. Le Tuan V. Tran H. Nguyen 59 2 0 29 Mar 2023
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 82 4 0 11 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 113 16 0 06 Aug 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 68 2 0 05 Aug 2022
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children Hieu H. Pham N. H. Nguyen Thanh-Truong Tran T. N. Nguyen H. Nguyen LM&MA 64 31 0 20 Mar 2022