Header Image: Image Segmentation Using Deep Learning: A Survey: Shervin Minaee
Key Sections
Abstract

The first sentence indicates the applications using image segmentation and shows the importance. 1
Then, the second sentence shows the recent development of deep learning help image segmentation thriving.
Finally, the author talks about this work and its range of the content.
Key Terms

The author use 9 key words to indicate the range of his work. Maybe we can use less than this number.
Introduction

Related Works


Methods



Other left parts are similar.
Datasets

2.5D and 3D parts are similar style.
Performance Review

Some tabular data:

Challenges and Opportunities

Conclusion and Acknowledgements

Reference
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Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., & Terzopoulos, D. (2020). Image Segmentation Using Deep Learning: A Survey. 1–23. http://arxiv.org/abs/2001.05566 ↩
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