CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning

Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network

(2021) Amit Kumar Das et al.   PATTERN ANALYSIS AND APPLICATIONS

Multi-disease prediction using LSTM recurrent neural networks

(2021) Lu Men et al.   EXPERT SYSTEMS WITH APPLICATIONS

Two-phase non-invasive multi-disease detection via sublingual region

(2021) Jianhang Zhou et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Lung nodule segmentation using Salp Shuffled Shepherd Optimization Algorithm-based Generative Adversarial Network

(2021) Supiksha Jain et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

(2019) Shiwen Shen et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2019) Amit Kumar Jaiswal et al.   MEASUREMENT

Optimal breast cancer classification using Gauss–Newton representation based algorithm

(2017) Lingraj Dora et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control

(2015) K. C. Santosh et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Who Should Be Reading Chest Radiographs in the Pediatric Emergency Department?

(2012) Michalle Soudack et al.   PEDIATRIC EMERGENCY CARE

Accuracy of radiographic readings in the emergency department

(2010) Bruno Petinaux et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE