Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method-Reference-Cited by-同舟云学术

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Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Mahmoodian Naghmeh¹,Chakrabarty Sumit¹,Georgiades Marilena²,Pech Maciej²,Hoeschen Christoph¹

Affiliation:

1. Otto von Guericke University,Faculty of Electrical Engineering and Information Technology, Institute for Medical Technology, Chair of Medical Systems Technology,Magdeburg,Germany,D-39106

2. Otto von Guericke University, Medical Faculty, University Clinic for Radiology and Nuclear Medicine,Magdeburg,Germany,39120

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340054.pdf?arnumber=10340054

Reference15 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Lung cancer identification: a review on detection and classification

3. Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems

4. Weighted average ensemble-based semantic segmentation in biological electron microscopy images

5. 2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays

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