Semi-supervised Learning for COVID-19 Image Classification via ResNet

27 February 2021

Papers citing "Semi-supervised Learning for COVID-19 Image Classification via ResNet"

7 / 7 papers shown

Title
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image Lucy Nwosu Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 32 3 0 27 May 2022
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification Faeze Gholamiankhah S. Mostafapour Seyedjafar Shojaerazavi N. Goushbolagh H. Arabi 11 13 0 24 Feb 2022
Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals Xing-Yu Chen Qiu-shi Zhu Jie M. Zhang Lirong Dai 24 14 0 22 Jan 2022
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 69 1,761 0 24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 97 574 0 10 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 249 1,275 0 06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017