Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images-Reference-Cited by-同舟云学术

Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images

Published:2021 Issue: Volume: Page:36-46
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
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Author:

Zamora-Cárdenas Willard,Mendez Mauro,Calderon-Ramirez Saul,Vargas Martin,Monge Gerardo,Quiros Steve,Elizondo David,Torrents-Barrena Jordina,Molina-Cabello Miguel A.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85030-2_4

Reference32 articles.

1. Alfaro, E., Fonseca, X.B., Albornoz, E.M., Martínez, C.E., Calderon-Ramirez, S.: A brief analysis of u-net and mask R-CNN for skin lesion segmentation. In: 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), pp. 000123–000126. IEEE (2019)

2. Bai, M., Urtasun, R.: Deep watershed transform for instance segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5221–5229 (2017)

3. Bermudez, A., et al.: A first glance to the quality assessment of dental photostimulable phosphor plates with deep learning. In: 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1–6. IEEE (2020)

4. Bernard, O., Friboulet, D., Thevenaz, P., Unser, M.: Variational B-spline level-set: a linear filtering approach for fast deformable model evolution. IEEE Trans. Image Process. 18, 1179–1191 (2009)

5. Calderon-Ramirez, S., Saenz, A., Mora, R., Siles, F., Orozco, I., Buemi, M.: DeWAFF: a novel image abstraction approach to improve the performance of a cell tracking system. In: 2015 4th International Work Conference on IEEE Bioinspired Intelligence (IWOBI), pp. 81–88 (2015)

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