Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

(2021) Ali Narin et al.   PATTERN ANALYSIS AND APPLICATIONS

Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images

(2020) Yusuf Celik et al.   PATTERN RECOGNITION LETTERS

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

(2020) Ioannis D. Apostolopoulos et al.   Journal of Medical and Biological Engineering

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks

(2020) Dilbag Singh et al.   EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES

Deep Convolutional Neural Networks based Classification model for COVID-19 Infected Patients using Chest X-ray Images

(2020) Dilbag Singh et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays

(2020) N. Narayan Das et al.   IRBM

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

(2020) Aayush Jaiswal et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

(2020) Narinder Singh Punn et al.   APPLIED INTELLIGENCE

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

(2020) Parnian Afshar et al.   PATTERN RECOGNITION LETTERS

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

(2019) Zifeng Wu et al.   PATTERN RECOGNITION

A transfer learning method with deep residual network for pediatric pneumonia diagnosis

(2019) Gaobo Liang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A comparative study of deep learning architectures on melanoma detection

(2019) Sara Hosseinzadeh Kassani et al.   TISSUE & CELL

Brain Tumor Detection using Fusion of Hand Crafted and Deep Learning Features

(2019) Tanzila Saba et al.   Cognitive Systems Research

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

(2019) Ozal Yildirim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2019) Amit Kumar Jaiswal et al.   MEASUREMENT

The skin cancer classification using deep convolutional neural network

(2018) Ulzii-Orshikh Dorj et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

(2018) Michał Byra et al.   International Journal of Computer Assisted Radiology and Surgery

A deep learning model for the detection of both advanced and early glaucoma using fundus photography

(2018) Jin Mo Ahn et al.   PLoS One

Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data

(2017) Zhongling Huang et al.   Remote Sensing

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING