PATHOLOGICAL OUTCOMES OF COVID-19 FOR LUNGS INFECTIONS BASED ON TRANSFER LEARNING TECHNOLOGY
3C Tecnologia
; 12(1):282-294, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2249261
ABSTRACT
In 2019 a new Syndrome appear on the Large numbers of people like (High temperature, cough, Loss of sense of smell and taste(forcing a lot of them to enter the critical care unit after while the virus how case this syndrome named (SARS-CoV2). The aim of this paper is recognize the patient who effected by covid-19 or not using x-ray images. Deep learning techniques utilized to classify these images by using convolutional neural network (CNN). The dataset have been utilized in this work consist of 1000 x-ray images collected from kaggle website and divided it into 80% for training and 20% for validation. The proposed method using the pertained networks such as (EffienentNet B0, ResNet50) to minimize the training time with high performance, where the EffienentNet B0 network give high accuracy is 98.5%,finaly the model has been implemented on raspberry pi3 successfully for classification task.
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
3C Tecnologia
Year:
2023
Document Type:
Article
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