Deep learning for chest X-ray analysis: A survey

Author:

Çallı ErdiORCID,Sogancioglu EcemORCID,van Ginneken BramORCID,van Leeuwen Kicky G.ORCID,Murphy KeelinORCID

Funder

NWO

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference411 articles.

1. ACR, 2019. SIIM-ACR Pneumothorax Segmentation.

2. X-ray in-depth decomposition: revealing the latent structures;Albarqouni,2017

3. Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes;Amiri;IEEE Trans. Ultrason. Ferroelectr. Freq. Control,2020

4. Self-supervision vs. transfer learning: robust biomedical image analysis against adversarial attacks;Anand,2020

5. A comparative study for chest radiograph image retrieval using binary texture and deep learning classification;Anavi;Int. Conf. IEEE Eng. Med. Biol. Soc.,2015

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