Segmentation of White Blood Cells Based on CBAM-DC-UNet-Reference-Cited by-同舟云学术

Segmentation of White Blood Cells Based on CBAM-DC-UNet

Author:

Li Dongming¹,Yin Shiyu¹^ORCID,Lei Yu¹,Qian Jingning²,Zhao Chunxi³,Zhang Lijuan⁴^ORCID

Affiliation:

1. School of Information Technology, Jilin Agricultural University, Changchun, China

2. Faculty of Engineering and Information Technology (FEIT), The University of Melbourne, Carlton, VIC, Australia

3. Information Center, Jilin Agricultural University, Changchun, China

4. College of Computer Science and Engineering, Changchun University of Technology, Changchun, China

Funder

National Natural Science Foundation of China Youth Science Foundation Project

Scientific Research Project of Jilin Provincial Department of Education

Project of Jilin Provincial Environmental Protection Department

Scientific Research Project of Jilin Provincial Department of Ecology and Environment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference33 articles.

1. Rethinking atrous convolution for semantic image segmentation;chen;arXiv 1706 05587,2017

4. Encoder–decoder with atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis (ECCV),2018

5. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

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2. Performance Analysis of UNet Backbones With Dropout for Morphometric Measurement of Blood Cells;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26