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

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"

9 / 9 papers shown

Title
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features L. Crespi Daniele Loiacono A. Chiti 18 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 Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 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 28 8 0 26 Feb 2021
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 30 10 0 21 Dec 2020
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 38 71 0 18 Nov 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 22 167 0 20 Feb 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 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 340 10,633 0 19 Feb 2017