Pneumonia Detection using Depth-Wise Convolutional Neural Network (DW-CNN)

[1]  Sudipta Roy,et al.  Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images , 2020, Sensors.

[2]  Okeke Stephen,et al.  An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare , 2019, Journal of healthcare engineering.

[3]  Dietrich Stoevesandt,et al.  Imaging in anatomy: a comparison of imaging techniques in embalmed human cadavers , 2013, BMC medical education.

[4]  Werapon Chiracharit,et al.  Automatic lung segmentation in chest radiographs using shadow filter and local thresholding , 2016, 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

[5]  Amit Verma,et al.  Deep learning based enhanced tumor segmentation approach for MR brain images , 2019, Appl. Soft Comput..

[6]  Maximilian F. Reiser,et al.  The Value of Supine Chest X-Ray in the Diagnosis of Pneumonia in the Basal Lung Zones. , 2018, Academic radiology.

[7]  K. Doi,et al.  Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. , 2000, AJR. American journal of roentgenology.

[8]  Ran Yang,et al.  Classification of Bacterial and Viral Childhood Pneumonia Using Deep Learning in Chest Radiography , 2018, ICMIP 2018.

[9]  A. Hoes,et al.  Chest radiography and pneumonia in primary care: diagnostic yield and consequences for patient management , 2006, European Respiratory Journal.

[10]  Manik Sharma,et al.  Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis , 2019, Journal of Medical Systems.

[11]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[12]  Zhijian Song,et al.  Computer-aided detection in chest radiography based on artificial intelligence: a survey , 2018, BioMedical Engineering OnLine.

[13]  Fevzullah Temurtas,et al.  Chest diseases diagnosis using artificial neural networks , 2010, Expert Syst. Appl..

[14]  Sumit Gupta,et al.  Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia , 2020, 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

[15]  J. Mongan,et al.  Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study , 2018, PLoS medicine.

[16]  Qingli He,et al.  Study on the pathological and biomedical characteristics of spinal cord injury by confocal Raman microspectral imaging. , 2019, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[17]  Amit Verma,et al.  An improved salient object detection algorithm combining background and foreground connectivity for brain image analysis , 2018, Comput. Electr. Eng..

[18]  Rahib H Abiyev,et al.  Deep Convolutional Neural Networks for Chest Diseases Detection , 2018, Journal of healthcare engineering.

[19]  Ansh Mittal,et al.  AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction , 2019, EAI Endorsed Trans. Pervasive Health Technol..

[20]  Ronald M. Summers,et al.  ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases , 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

[21]  Stefan Jaeger,et al.  Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. , 2014, Quantitative imaging in medicine and surgery.

[22]  E. Poskitt.  American Journal of Diseases of Children , 1991, Archives of disease in childhood.

[23]  Mamta Mittal,et al.  Big Data and Machine Learning Based Secure Healthcare Framework , 2018 .

[24]  Cengiz Sertkaya,et al.  A Comparative Study on Chronic Obstructive Pulmonary and Pneumonia Diseases Diagnosis using Neural Networks and Artificial Immune System , 2009, Journal of Medical Systems.

[25]  B. Antin,et al.  Detecting Pneumonia in Chest X-Rays with Supervised Learning , 2017 .

[26]  Andrew Y. Ng,et al.  CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning , 2017, ArXiv.