Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans

Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

(2020) Adam Bernheim et al.   RADIOLOGY

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks

(2020) David Bermejo-Peláez et al.   Scientific Reports

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

(2020) Vikash Chouhan et al.   Applied Sciences-Basel

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evolutionary Algorithms for Automatic Lung Disease Detection

(2019) Naman Gupta et al.   MEASUREMENT

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

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

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

(2019) Geert Litjens et al.   JACC-Cardiovascular Imaging

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports