Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports

Author:

Shetty ShashankORCID,S. Ananthanarayana V.ORCID,Mahale AjitORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference80 articles.

1. Abadi M et al (2015) TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow.org, https://www.tensorflow.org/

2. Agarap AF (2018) Deep Learning using Rectified Linear Units (ReLU). arXiv e-prints, pp 1803–08375. arXiv:1803.08375

3. Alfarghaly O, Khaled R, Elkorany A, Helal M, Fahmy A (2021) Automated radiology report generation using conditioned transformers. Inf Med Unlocked 24:100557. https://doi.org/10.1016/j.imu.2021.100557

4. Araujo A, Norris WD, Sim J (2019) Computing receptive fields of convolutional neural networks. Distill

5. Aydin F, Zhang M, Ananda-Rajah M, Haffari G (2019) Medical multimodal classifiers under scarce data condition. CoRR, arXiv:1902.08888

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