Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets

17 November 2020

Papers citing "Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets"

30 / 30 papers shown

Title
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 84 579 0 08 Mar 2021
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging N. Arun N. Gaw P. Singh Ken Chang M. Aggarwal ... J. Patel M. Gidwani Julius Adebayo M. D. Li Jayashree Kalpathy-Cramer FAtt 70 110 0 06 Aug 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 71 780 0 22 Jun 2020
A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2 Mohammad Rahimzadeh Abolfazl Attar 54 127 0 17 Apr 2020
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets Y. Oh Sangjoon Park J. C. Ye 63 695 0 13 Apr 2020
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images Asif Iqbal Khan Junaid Latief Shah M. Bhat 42 1,081 0 10 Apr 2020
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection Jianpeng Zhang Yutong Xie Guansong Pang Zhibin Liao Johan Verjans ... Zongji Sun Jian He Yi Li Chunhua Shen Yong-quan Xia 53 446 0 27 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 68 1,916 0 25 Mar 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 125 1,018 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 106 1,770 0 24 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 111 2,504 0 22 Mar 2020
The impact of patient clinical information on automated skin cancer detection André G. C. Pacheco R. Krohling 72 156 0 16 Sep 2019
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 105 1,633 0 25 Nov 2018
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities Parnian Afshar Arash Mohammadi Konstantinos N. Plataniotis A. Oikonomou Habib Benali MedIm 49 209 0 23 Aug 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Ivo M. Baltruschat H. Nickisch M. Grass T. Knopp A. Saalbach 72 384 0 06 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 181 19,284 0 13 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 137 7,361 0 27 Oct 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 177 5,603 0 21 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 141 6,872 0 04 Jul 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 227 2,529 0 02 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,858 0 17 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 303 20,023 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,575 0 07 Oct 2016
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes Afonso Menegola Michel Fornaciali Ramon Pires Sandra Avila Eduardo Valle MedIm 229 43 0 05 Sep 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 74 4,604 0 10 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,319 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014