Related references
Note: Only part of the references are listed.A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases Using X-ray Images
Saleh Albahli
CURRENT MEDICAL IMAGING (2021)
Artificial Intelligence in Medicine: Where Are We Now?
Sagar Kulkarni et al.
ACADEMIC RADIOLOGY (2020)
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
Mesut Togacar et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining
Pranav Rajpurkar et al.
SCIENTIFIC REPORTS (2020)
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search
Hafiz Tayyab Rauf et al.
APPLIED SOFT COMPUTING (2020)
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Harsh Panwar et al.
CHAOS SOLITONS & FRACTALS (2020)
Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
Ioannis D. Apostolopoulos et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2020)
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Yujin Oh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features
Ahmed T. Sahlol et al.
SYMMETRY-BASEL (2020)
Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging
Seung Hoon Yoo et al.
FRONTIERS IN MEDICINE (2020)
Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning
Mohammad Farukh Hashmi et al.
DIAGNOSTICS (2020)
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning
Rachna Jain et al.
MEASUREMENT (2020)
Pneumonia Detection on Chest X-Ray Using Machine Learning Paradigm
Tej Bahadur Chandra et al.
PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON COMPUTER VISION AND IMAGE PROCESSING, CVIP 2018, VOL 1 (2020)
A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images
Kh Tohidul Islam et al.
PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 5: VISAPP (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
Abder-Rahman Ali et al.
PEERJ COMPUTER SCIENCE (2020)
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
Reinel Tabares-Soto et al.
PEERJ COMPUTER SCIENCE (2020)
Artificial Intelligence in Medicine: Today and Tomorrow
Giovanni Briganti et al.
FRONTIERS IN MEDICINE (2020)
Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis
Bo Jin et al.
IEEE ACCESS (2020)
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks
Hojjat Salehinejad et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
A neuro-heuristic approach for recognition of lung diseases from X-ray images
Qiao Ke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
Thi Kieu Khanh Ho et al.
APPLIED SCIENCES-BASEL (2019)
A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning
Hafiz Tayyab Rauf et al.
DATA IN BRIEF (2019)
Convolutional neural networks based efficient approach for classification of lung diseases
Fatih Demir et al.
HEALTH INFORMATION SCIENCE AND SYSTEMS (2019)
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Pranav Rajpurkar et al.
PLOS MEDICINE (2018)
A computerized method for automated identification of erect posteroanterior and supine anteroposterior chest radiographs
E-Fong Kao et al.
PHYSICS IN MEDICINE AND BIOLOGY (2011)
Share Paper
