A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection

Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network

(2021) Xiaoling Liang et al.   Frontiers in Medicine

Semantic-Interactive Graph Convolutional Network for Multilabel Image Recognition

(2021) Bingzhi Chen et al.   IEEE Transactions on Systems Man Cybernetics-Systems

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

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

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

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

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia

(2020) Xiang Yu et al.   INFORMATION PROCESSING & MANAGEMENT

Graph classification based on structural features of significant nodes and spatial convolutional neural networks

(2020) Tinghuai Ma et al.   NEUROCOMPUTING

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution

(2020) Weiwei Cai et al.   IEEE Geoscience and Remote Sensing Letters

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

(2019) Okeke Stephen et al.   Journal of Healthcare Engineering

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

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

Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

(2019) Nasrullah Nasrullah et al.   SENSORS

Multi-Scale Heterogeneous 3D CNN for False-Positive Reduction in Pulmonary Nodule Detection, Based on Chest CT Images

(2019) Zhitao Xiao et al.   Applied Sciences-Basel

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

(2019) Amit Kumar Jaiswal et al.   MEASUREMENT

Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

(2019) Thi Kieu Ho et al.   Applied Sciences-Basel

Local community detection based on network motifs

(2019) Yunlei Zhang et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

(2019) Sheng Wan et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

(2018) Daniel S. Kermany et al.   CELL

Deep Convolutional Neural Networks for Chest Diseases Detection

(2018) Rahib H. Abiyev et al.   Journal of Healthcare Engineering

Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

(2018) Sivaramakrishnan Rajaraman et al.   Applied Sciences-Basel

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

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

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

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

(2015) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Tuberculosis Screening Using Chest Radiographs

(2013) Stefan Jaeger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words

(2010) Uri Avni et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING