A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Joint Authors
Jiang, Tao
Qi, Shouliang
Zhang, Jinghua
Li, Chen
Kulwa, Frank
Zhao, Xin
Sun, Changhao
Li, Zihan
Li, Hong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-08
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
To assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multiscale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper.
There are two parts in this framework: The first is a novel pixel-level segmentation approach, using a newly introduced Convolutional Neural Network (CNN), namely, “mU-Net-B3”, with a dense Conditional Random Field (CRF) postprocessing.
The second is a VGG-16 based patch-level segmentation method with a novel “buffer” strategy, which further improves the segmentation quality of the details of the EMs.
In the experiment, compared with the state-of-the-art methods on 420 EM images, the proposed MSCC method reduces the memory requirement from 355 MB to 103 MB, improves the overall evaluation indexes (Dice, Jaccard, Recall, Accuracy) from 85.24%, 77.42%, 82.27%, and 96.76% to 87.13%, 79.74%, 87.12%, and 96.91%, respectively, and reduces the volume overlap error from 22.58% to 20.26%.
Therefore, the MSCC method shows great potential in the EM segmentation field.
American Psychological Association (APA)
Zhang, Jinghua& Li, Chen& Kulwa, Frank& Zhao, Xin& Sun, Changhao& Li, Zihan…[et al.]. 2020. A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation. BioMed Research International،Vol. 2020, no. 2020, pp.1-27.
https://search.emarefa.net/detail/BIM-1134040
Modern Language Association (MLA)
Zhang, Jinghua…[et al.]. A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation. BioMed Research International No. 2020 (2020), pp.1-27.
https://search.emarefa.net/detail/BIM-1134040
American Medical Association (AMA)
Zhang, Jinghua& Li, Chen& Kulwa, Frank& Zhao, Xin& Sun, Changhao& Li, Zihan…[et al.]. A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-27.
https://search.emarefa.net/detail/BIM-1134040
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134040