Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach

18 February 2020

Papers citing "Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach"

7 / 7 papers shown

Title
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 108 2,568 0 21 Jan 2019
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation V. Iglovikov Alexey A. Shvets SSeg 32 610 0 17 Jan 2018
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 132 2,495 0 05 May 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays Wei-Ming Dai Joseph Doyle Xiaodan Liang Zeya Wang Nanqing Dong Huatian Zhang Eric Xing MedIm 48 170 0 26 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 876 15,718 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.4K 76,547 0 18 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.2K 99,991 0 04 Sep 2014