MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression-Reference-Cited by-同舟云学术

MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression

Published:2023 Issue: Volume:11 Page:85990-86001
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qian Like¹^ORCID,Qian Wei²,Tian Dingcheng¹^ORCID,Zhu Yaqi¹,Zhao Heng¹,Yao Yudong³^ORCID

Affiliation:

1. Research Institute for Medical and Biological Engineering, Ningbo University, Ningbo, China

2. Department of Electrical and Computer Engineering, The University of Texas at El Paso, El Paso, TX, USA

3. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10216972.pdf?arnumber=10216972

Reference54 articles.

1. Learning to count with regression forest and structured labels;fiaschi;Proc Int Conf Pattern Recognit (ICPR),2012

2. A Two-Path Network for Cell Counting

3. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc 18th Int Conf Med Image Comput Comput -Assist Intervent (MICCAI),2015

4. Count-ception: Counting by Fully Convolutional Redundant Counting

5. A Cell Counting Framework Based on Random Forest and Density Map

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