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صفحه اصلی
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اولین همایش بین المللی هوش مصنوعی
White blood cell image analysis using CNN model
نویسندگان :
Fahimeh Jahanbakhshi
1
Hamid Latifi
2
1- Shahid Beheshti University
2- Shahid Beheshti University
کلمات کلیدی :
Blood cell image،Convolutional neural network،classification Deep learning
چکیده :
White blood cells, play a vital role in the immune system. For medical experts, the precise and effective classification of these cells is essential for diagnosing diseases This classification facilitates the precise detection of medical problems. In this study, the categories of white blood cells are with the help of a transform learning model Convolutional Neural Network (CNN). Our approach achieves an impressive accuracy rate of 98.5%, surpassing the performance of current techniques.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.1