Segmentation and classification on chest radiography: a systematic survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-021-02352-7.pdf
Reference192 articles.
1. Abedalla, A., Abdullah, M., Al-Ayyoub, M., Benkhelifa, E.: 2st-unet: 2-stage training model using u-net for pneumothorax segmentation in chest x-rays. In: 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1–6. IEEE (2020)
2. Agrawal, A., Mittal, N.: Using cnn for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Vis. Comput. 36(2), 405–412 (2020)
3. Ahmed, M.N., Yamany, S.M., Mohamed, N., Farag, A.A., Moriarty, T.: A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data. IEEE Trans. Med. Imaging 21(3), 193–199 (2002)
4. Al Aseri, Z.: Accuracy of chest radiograph interpretation by emergency physicians. Emerg. Radiol. 16, 111–114 (2009)
5. Andermatt, S., Pezold, S., Cattin, P.: Multi-dimensional gated recurrent units for the segmentation of biomedical 3d-data. In: Deep Learning and Data Labeling for Medical Applications, pp. 142–151. Springer (2016)
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