Hibrit bir derin öğrenme modeli kullanarak tripanozom parazitlerinin üstün otomatik tanımlanması

Please note that all translations are AI generated. Click here for the English version.

1.1K Views

•

08:20 min

•

October 27th, 2023

DOI :

10.3791/65557-v

October 27th, 2023

•

Veerayuth Kittichai¹, Morakot Kaewthamasorn², Suchansa Thanee², Thanyathep Sasisaowapak³, Kaung Myat Naing³, Rangsan Jomtarak⁴, Teerawat Tongloy³, Santhad Chuwongin³, Siridech Boonsang⁵

¹Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang, ²Veterinary Parasitology Research Unit, Faculty of Veterinary Science, Chulalongkorn University, ³College of Advanced Manufacturing Innovation, King Mongkut’s Institute of Technology Ladkrabang, ⁴Faculty of Science and Technology, Suan Dusit University, ⁵Department of Electrical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang

Transkript

Özet

Bu videodaki bölümler

0:00

Introduction

1:26

Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species

5:22

Image Classification as Model Training and Model Evaluation to Identify and Classify the Protozoan Trypanosome Species