Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

(2021) Tawsifur Rahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

(2020) Tawsifur Rahman et al.   Applied Sciences-Basel

Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis

(2020) Yuanyuan Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images

(2020) Nada M. Elshennawy et al.   Diagnostics

Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning

(2020) Rachna Jain et al.   MEASUREMENT

A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic

(2020) Mohamed Loey et al.   MEASUREMENT

SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge

(2020) Madeshwari Ezhilan et al.   MEASUREMENT

How far have we come? Artificial intelligence for chest radiograph interpretation

(2019) K. Kallianos et al.   CLINICAL RADIOLOGY

A neuro-heuristic approach for recognition of lung diseases from X-ray images

(2019) Qiao Ke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database

(2019) Ilyas Sirazitdinov et al.   COMPUTERS & ELECTRICAL ENGINEERING

Identifying pneumonia in chest X-rays: A deep learning approach

(2019) Amit Kumar Jaiswal et al.   MEASUREMENT

Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images

(2019) Abhir Bhandary et al.   PATTERN RECOGNITION LETTERS

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Performance analysis of image thresholding: Otsu technique

(2018) Ta Yang Goh et al.   MEASUREMENT

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

(2018) Hwejin Jung et al.   BMC MEDICAL IMAGING

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

(2018) Aria Pezeshk et al.   IEEE Journal of Biomedical and Health Informatics

Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs

(2017) Mark Cicero et al.   INVESTIGATIVE RADIOLOGY

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

(2016) Marios Anthimopoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models

(2016) Xuechen Li et al.   Journal of Medical Imaging and Health Informatics

Preparing a collection of radiology examinations for distribution and retrieval

(2015) Dina Demner-Fushman et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION