Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels

15 November 2019

Papers citing "Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels"

6 / 6 papers shown

Title
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features L. Crespi Daniele Loiacono A. Chiti 11 4 0 29 Sep 2021
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation E. Giacomello P. Lanzi Daniele Loiacono Luca Nassano 17 5 0 05 May 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 30 22 0 28 Feb 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou Lei Huang Tianfei Zhou Ling Shao 20 8 0 26 Feb 2021
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
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