Real-Time, Automated, Multiobjective, Cloud Computing Whole Slide Imaging Device-Reference-Cited by-同舟云学术

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Real-Time, Automated, Multiobjective, Cloud Computing Whole Slide Imaging Device

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Mallick Satya Prasanna¹^ORCID,Adithya K. S.¹^ORCID,Sabui Ratul¹^ORCID,Naidu Balu Babu²^ORCID,Singh Ranjeet³^ORCID,Babu Harish²^ORCID,Jagadeesh Gajula¹^ORCID,Venkata Amaresh K. M.²^ORCID,Gopal Ram³^ORCID,Sharma Vandana⁴^ORCID

Affiliation:

1. Indian Institute of Technology Hyderabad, Hyderabad, India

2. Grey Scientific Labs Pvt. Ltd., Bengaluru, India

3. Tata Institute of Fundamental Research, Hyderabad, India

4. Department of Physics, Indian Institute of Technology Hyderabad, Hyderabad, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10098115.pdf?arnumber=10098115

Reference32 articles.

1. Single-Shot Autofocusing of Microscopy Images Using Deep Learning

2. Learning to Autofocus in Whole Slide Imaging via Physics-guided Deep Cascade Networks

3. Whole slide imaging system using deep learning-based automated focusing

4. Low-cost whole slide imaging system with single-shot autofocusing based on color-multiplexed illumination and deep learning

5. Image processing using cellular neural networks based on multi-valued and universal binary neurons

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