Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks

16 April 2020

Papers citing "Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks"

7 / 7 papers shown

Title
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis Mohammadreza Amirian Javier A. Montoya-Zegarra Jonathan Gruss Yves D. Stebler A. S. Bozkir M. Calandri Friedhelm Schwenker Thilo Stadelmann MedIm 8 3 0 19 Aug 2022
CapsNet for Medical Image Segmentation Minh-Trieu Tran Viet-Khoa Vo-Ho Kyle Quinn Hien Nguyen Khoa Luu Ngan Le MedIm 13 5 0 16 Mar 2022
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 27 7 0 25 Jul 2021
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Xuelin Qian H. Fu Weiya Shi Tao Chen Yanwei Fu F. Shan Xiangyang Xue 22 51 0 07 Oct 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review Shahabedin Nabavi Azar Ejmalian M. Moghaddam A. A. Abin Alejandro F. Frangi M. Mohammadi H. S. Rad 16 34 0 01 Oct 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 21 11 0 09 Jun 2020
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 49 185 0 11 Jun 2018