0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
An Investigation on Transfer Learning for Classification of COVID-19 Chest X-Ray Images with Pre-trained Convolutional-based Architecture
نویسندگان :
Mobina Abdoli Nemati
1
ََAmirreza Baba Ahmadi
2
1- دانشگاه علم و صنعت ایران
2- دانشگاه تهران
کلمات کلیدی :
Deep Learning،Transfer Learning،COVID-19 Detection،Medical Computer Vision،Medical Image Analysis
چکیده :
Medical image analysis techniques has been found useful for rapid identification of COVID-19. Since it's difficult to find important visual features for a large number of patients, machine learning methods have been found promising to diagnose whether one is infected or not. Since, there are many approaches of using convolutional-based architectures for medical image analysis tasks, we have used the most famous and potent deep neural networks to provide a concise and reliable source of information on transfer learning-based methods to open the road for more advanced studies. This article presents an investigation on 27 pre-trained convolutional neural networks to recognize the existence of COVID-19 in medical chest X-ray images. In this study, we have used a binarized version of the few public datasets from COVID-19 patients and non-COVID subjects. The evaluated results from 5-fold cross validation show that architectures such as: EfficientNet networks, MobileNet, Inception-ResNetV2, NasNet-Large give a superior performance on the aforementioned binary pattern recognition task.
لیست مقالات
لیست مقالات بایگانی شده
روشی برای انتخاب کُدهای بهینه افزایشی چرخشی برای افزایش تحمل پذیری خطا در شبکه های درون ساختمانیِ شهرهای هوشمند با ملاحظه سربارهای زمانی و توان مصرفی
آرش ابراهیم پور زندی - مهرشاد خسرویانی
مدل سازی فشرده و شبیه سازی گذار عایق به هادی در افزاره مات مبتنی بر VO2
پرناز عباسی - مجید شالچیان
A reinforcement learning-based control approach for tracking problem of a class of nonlinear systems: Applied to a Single-Link Manipulator
Farshad Rahimi - Sepideh Ziaei - Reza Mahboobi Esfanjani
A New 10 Watt 1.6 GHz Linear Power Amplifier with More than 11 dB Gain
Marzieh Chegini - HojjatAllah Nemati - Mahmoud Kamarei
Fusion of Multi-Level CNN With LBP Features For Facial Emotion Recognition
Ehsan Bahmanabady - Maryam Imani - Hassan Ghassemian
Depth Estimation in Monocular Images of Inside the Sewer Pipes for Navigation of Inspection Robots
Zeinab Maroufi - Alireza Hadi Hosseinabadi - Reza Askari moghadam
Adaptive synchronous switching of uncompensated open transmission lines Realizing the line’s Parameters, and the pre-arcing interval
Alireza Karimonnafs - Mehdi Vakilian
Design and Simulation of Ultra High power X-band Rotary Joint with a Matching Choke
Mohammad Bod - Seyed mohammad Hashemi
Dynamic Gait Analysis Using Hybrid Neural Networks: Online classification and Prediction of Locomotion Modes
Samira Dehghanian - Hamed Jalaly Bidgoly
Scattering by an array of PEC cylinders in ferrite media using spectral technique
Zahra Bahrami - Asghar Keshtkar - Ayaz Ghorbani
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4