Segmentation of Polyp Instruments using UNet based deep learning model
DOI:
https://doi.org/10.5617/nmi.9145Emneord (Nøkkelord):
Artificial Intelligence, Machine Learning, DeepLearning, Biomedical Image SegmentationSammendrag
In this paper, we present a UNet architecture-based deep learning method that is used to segment polyp and instruments from the image data set provided in the MedAI Challenge2021. For the polyp segmentation task, we developed a UNet based algorithm for segmenting polyps in images taken from endoscopies. The main focus of this task is to achieve high segmentation metrics on the supplied test dataset. Similarly for the polyp segmentation task, in the instrument segmentation task, we have developed UNet based algorithms for segmenting instruments present in colonoscopy videos.
Nedlastinger
Publisert
2021-11-01 — Oppdatert 2021-12-01
Versjoner
- 2021-12-01 (2)
- 2021-11-01 (1)
Utgave
Seksjon
NMI Challenge
Lisens
Opphavsrett 2021 Nordic Machine Intelligence
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Dette verket er lisensiert under Creative Commons Attribution 4.0 International License.