232 related articles for article (PubMed ID: 34898796)
1. Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images.
Mubarak AS; Serte S; Al-Turjman F; Ameen ZS; Ozsoz M
Expert Syst; 2022 Mar; 39(3):e12842. PubMed ID: 34898796
[TBL] [Abstract][Full Text] [Related]
2. A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images.
Abubakar H; Al-Turjman F; Ameen ZS; Mubarak AS; Altrjman C
Heliyon; 2024 Mar; 10(5):e26939. PubMed ID: 38463848
[TBL] [Abstract][Full Text] [Related]
3. COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
Poola RG; Pl L; Y SS
Results Eng; 2023 Jun; 18():101020. PubMed ID: 36945336
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.
Bhargava A; Bansal A; Goyal V
Multimed Tools Appl; 2022; 81(10):13731-13750. PubMed ID: 35221781
[TBL] [Abstract][Full Text] [Related]
5. COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images.
Hasoon JN; Fadel AH; Hameed RS; Mostafa SA; Khalaf BA; Mohammed MA; Nedoma J
Results Phys; 2021 Dec; 31():105045. PubMed ID: 34840938
[TBL] [Abstract][Full Text] [Related]
6. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter.
Abdelminaam DS; Ismail FH; Taha M; Taha A; Houssein EH; Nabil A
IEEE Access; 2021; 9():27840-27867. PubMed ID: 34786308
[TBL] [Abstract][Full Text] [Related]
7. Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.
Sethy PK; Behera SK; Anitha K; Pandey C; Khan MR
J Xray Sci Technol; 2021; 29(2):197-210. PubMed ID: 33492267
[TBL] [Abstract][Full Text] [Related]
8. Brain tumor magnetic resonance images classification based machine learning paradigms.
Pattanaik BB; Anitha K; Rathore S; Biswas P; Sethy PK; Behera SK
Contemp Oncol (Pozn); 2022; 26(4):268-274. PubMed ID: 36816391
[TBL] [Abstract][Full Text] [Related]
9. Microscopic handcrafted features selection from computed tomography scans for early stage lungs cancer diagnosis using hybrid classifiers.
Alyami J; Khan AR; Bahaj SA; Fati SM
Microsc Res Tech; 2022 Jun; 85(6):2181-2191. PubMed ID: 35122364
[TBL] [Abstract][Full Text] [Related]
10. A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays.
Abdullah M; Abrha FB; Kedir B; Tamirat Tagesse T
Heliyon; 2024 Mar; 10(5):e26938. PubMed ID: 38468922
[TBL] [Abstract][Full Text] [Related]
11. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
12. Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images.
Sut SK; Koc M; Zorlu G; Serhatlioglu I; Barua PD; Dogan S; Baygin M; Tuncer T; Tan RS; Acharya UR
J Digit Imaging; 2023 Jun; 36(3):879-892. PubMed ID: 36658376
[TBL] [Abstract][Full Text] [Related]
13. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
14. MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks.
Attallah O; Ragab DA; Sharkas M
PeerJ; 2020; 8():e10086. PubMed ID: 33062453
[TBL] [Abstract][Full Text] [Related]
15. ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images.
Key S; Demir S; Gurger M; Yilmaz E; Barua PD; Dogan S; Tuncer T; Arunkumar N; Tan RS; Acharya UR
Med Eng Phys; 2022 Dec; 110():103864. PubMed ID: 35987726
[TBL] [Abstract][Full Text] [Related]
16. In Search of an Efficient and Reliable Deep Learning Model for Identification of COVID-19 Infection from Chest X-ray Images.
Azad AK; Mahabub-A-Alahi ; Ahmed I; Ahmed MU
Diagnostics (Basel); 2023 Feb; 13(3):. PubMed ID: 36766679
[TBL] [Abstract][Full Text] [Related]
17. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
[TBL] [Abstract][Full Text] [Related]
18. An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image.
Tuncer T; Dogan S; Ozyurt F
Chemometr Intell Lab Syst; 2020 Aug; 203():104054. PubMed ID: 32427226
[TBL] [Abstract][Full Text] [Related]
19. Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers.
Kumar SA; Sasikala S
Curr Med Imaging; 2023 Mar; ():. PubMed ID: 37018527
[TBL] [Abstract][Full Text] [Related]
20. Detection of COVID-19 using deep learning techniques and classification methods.
Oğuz Ç; Yağanoğlu M
Inf Process Manag; 2022 Sep; 59(5):103025. PubMed ID: 35821878
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
