Boosting Performance of Transfer Learning Model for Diagnosis of COVID-19 from Computer Tomography Scans
Early-stage rapid and accurate diagnosis of COVID-19 pneumonia is of great importance as a measure to the fight against the pandemic. Even if real-time reverse transcription-polymerase chain reaction (RT-PCR) test seems like a gold standard for determining COVID-19, the availability and the accuracy...
Main Author: | Onur Karaman |
---|---|
Format: | Article |
Language: | English |
Published: |
Suleyman Demirel University
2021-05-01
|
Series: | Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/pub/sdufeffd/issue/62394/830351 |
Similar Items
-
Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification
by: Shuyin Xia, et al.
Published: (2019-01-01) -
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
by: M. A. H. Akhand, et al.
Published: (2021-04-01) -
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections
by: Ahmed Sedik, et al.
Published: (2020-07-01) -
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data
by: Laith Alzubaidi, et al.
Published: (2021-03-01) -
Melanoma diagnosis using deep learning techniques on dermatoscopic images
by: Mario Fernando Jojoa Acosta, et al.
Published: (2021-01-01)