MLP-UNet: Glomerulus Segmentation-Reference-Cited by-同舟云学术

MLP-UNet: Glomerulus Segmentation

Published:2023 Issue: Volume: Page:1-1
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saikia Franchis N¹^ORCID,Iwahori Yuji²^ORCID,Suzuki Taisei³,Bhuyan M. K.⁴^ORCID,Wang Aili⁵^ORCID,Kijsirikul Boonserm⁶^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati, India

2. Department of Computer Science, Chubu University, Kasugai, Japan

3. Department of Nephrology, Nagoya City University East Medical Center, Nagoya, Japan

4. Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

5. Higher Education Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang, Harbin University of Science and Technology, Harbin, China

6. Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

Funder

Japan Society for the Promotion of Science

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/ielx7/6287639/6514899/10138195.pdf?arnumber=10138195

Reference40 articles.

1. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

2. Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach

3. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

4. ResMLP: Feedforward networks for image classification with data-efficient training;touvron;IEEE Trans Pattern Anal Mach Intell,2023

5. Segmentation of Glomeruli Within Trichrome Images Using Deep Learning

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4. FastCellpose: A Fast and Accurate Deep-Learning Framework for Segmentation of All Glomeruli in Mouse Whole-Kidney Microscopic Optical Images;Cells;2023-11-30

5. Automated Renal Tumor Segmentation with V-Net and Morphological Post-Processing Technique;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10