A Comparison of YOLO and Mask-RCNN for Detecting Cells from Microfluidic Images-Reference-Cited by-同舟云学术

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A Comparison of YOLO and Mask-RCNN for Detecting Cells from Microfluidic Images

Published:2022-02-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Ghafari Mehran¹,Mailman Daniel¹,Hatami Parisa¹,Peyton Trevor¹,Yang Li¹,Dang Weiwei²,Qin Hong³

Affiliation:

1. U. of Tennessee at Chattanooga,Dept. of Computer Science & Engineering,Chattanooga,TN,U.S.A

2. Huffington Ctr. on Aging Baylor Coll. of Medicine,Dept. Molecular & Human Genetics,Houston,U.S.A

3. U. of Tennessee at Chattanooga,SimCenter,Dept. of Computer Science & Engineering,Chattanooga,TN,U.S.A

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9722611/9722613/09722616.pdf?arnumber=9722616

Reference24 articles.

2. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

3. Fully convolutional networks for automatically generating image masks to train mask RCNN;wu;CoRR,2020

4. Deep Residual Learning for Image Recognition

5. Fast Vehicle and Pedestrian Detection Using Improved Mask R-CNN

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