A Comparative Study of YOLO Models for Sperm and Impurity Detection Based on Proposed Augmentation in Small Dataset-Reference-Cited by-同舟云学术

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A Comparative Study of YOLO Models for Sperm and Impurity Detection Based on Proposed Augmentation in Small Dataset

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
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Author:

Nawae Marwan¹,Maneelert Prawai²,Choksuchat Chainarong³,Phairatana Tonghathai¹,Jaruenpunyasak Jermphiphut¹

Affiliation:

1. Prince of Songkla University,Faculty of Medicine,Department of Biomedical Sciences and Biomedical Engineering,Hat Yai, Songkhla,Thailand

2. Prince of Songkla University,Reproductive Medicine Unit, Faculty of Medicine,Department of Obstetrics and Gynecology,Hat Yai, Songkhla,Thailand

3. Prince of Songkla University,Faculty of Medicine,Department of Obstetrics and Gynecology,Hat Yai, Songkhla,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317623/10317639/10317746.pdf?arnumber=10317746

Reference33 articles.

1. Detection and Recognition of Bangladeshi Vehicles' Nameplates Using YOLOV6 and BLPNET

2. A novel finetuned YOLOv6 transfer learning model for real-time object detection

3. A more accurate mask detection algorithm based on Nao robot platform and YOLOv7

4. Safety Helmet Detection Using Deep Learning: Implementation and Comparative Study Using YOLOv5, YOLOv6, and YOLOv7

5. The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

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