Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
| Main Authors: | Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Danijel Skočaj |
|---|---|
| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5909692 |
Daftar Isi:
- A key component towards an improved and fast cancer diagnosis is the development of computer-assisted tools. In this article, we present the solution that won the SegPC-2021 competition∗ for the segmentation of multiple myeloma plasma cells in microscopy images. The labels used in the competition dataset were generated semiautomatically and presented noise. To deal with it, a heavy image augmentation procedure was carried out and predictions from several models were combined using a custom ensemble strategy. State-of-the-art feature extractors and instance segmentation architectures were used, resulting in a mean Intersection-over-Union of 0.9389 on the SegPC-2021 final test set.