137 related articles for article (PubMed ID: 37590282)
1. Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.
Mohamed TIA; Oyelade ON; Ezugwu AE
PLoS One; 2023; 18(8):e0285796. PubMed ID: 37590282
[TBL] [Abstract][Full Text] [Related]
2. A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data.
Mohamed TIA; Ezugwu AE; Fonou-Dombeu JV; Ikotun AM; Mohammed M
Sci Rep; 2023 Sep; 13(1):14644. PubMed ID: 37670037
[TBL] [Abstract][Full Text] [Related]
3. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
[TBL] [Abstract][Full Text] [Related]
4. Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models.
Oyelade ON; Ezugwu AE
Sci Rep; 2022 Oct; 12(1):17916. PubMed ID: 36289321
[TBL] [Abstract][Full Text] [Related]
5. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
Ibrahim DM; Elshennawy NM; Sarhan AM
Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
[TBL] [Abstract][Full Text] [Related]
6. MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans.
Majumder S; Gautam N; Basu A; Sau A; Geem ZW; Sarkar R
PLoS One; 2024; 19(3):e0298527. PubMed ID: 38466701
[TBL] [Abstract][Full Text] [Related]
7. A bioinspired neural architecture search based convolutional neural network for breast cancer detection using histopathology images.
Oyelade ON; Ezugwu AE
Sci Rep; 2021 Oct; 11(1):19940. PubMed ID: 34620891
[TBL] [Abstract][Full Text] [Related]
8. Agile convolutional neural network for pulmonary nodule classification using CT images.
Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
[TBL] [Abstract][Full Text] [Related]
9. An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm.
Houssein EH; Emam MM; Ali AA
Neural Comput Appl; 2022; 34(20):18015-18033. PubMed ID: 35698722
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
J Xray Sci Technol; 2020; 28(4):591-617. PubMed ID: 32568165
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
[TBL] [Abstract][Full Text] [Related]
12. Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.
Wang J; Chen X; Lu H; Zhang L; Pan J; Bao Y; Su J; Qian D
Med Phys; 2020 Apr; 47(4):1738-1749. PubMed ID: 32020649
[TBL] [Abstract][Full Text] [Related]
13. Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images.
Al-Sheikh MH; Al Dandan O; Al-Shamayleh AS; Jalab HA; Ibrahim RW
Sci Rep; 2023 Nov; 13(1):19373. PubMed ID: 37938631
[TBL] [Abstract][Full Text] [Related]
14. Deep learning ensemble 2D CNN approach towards the detection of lung cancer.
Shah AA; Malik HAM; Muhammad A; Alourani A; Butt ZA
Sci Rep; 2023 Feb; 13(1):2987. PubMed ID: 36807576
[TBL] [Abstract][Full Text] [Related]
15. Detection of Lung Cancer on Computed Tomography Using Artificial Intelligence Applications Developed by Deep Learning Methods and the Contribution of Deep Learning to the Classification of Lung Carcinoma.
Aydın N; Çelik Ö; Aslan AF; Odabaş A; Dündar E; Şahin MC
Curr Med Imaging; 2021; 17(9):1137-1141. PubMed ID: 33563200
[TBL] [Abstract][Full Text] [Related]
16. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
18. Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection.
Shyamala Bharathi P; Shalini C
Med Eng Phys; 2024 Apr; 126():104138. PubMed ID: 38621836
[TBL] [Abstract][Full Text] [Related]
19. Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
Nardelli P; Jimenez-Carretero D; Bermejo-Pelaez D; Washko GR; Rahaghi FN; Ledesma-Carbayo MJ; San Jose Estepar R
IEEE Trans Med Imaging; 2018 Nov; 37(11):2428-2440. PubMed ID: 29993996
[TBL] [Abstract][Full Text] [Related]
20. Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms.
Balaha HM; Balaha MH; Ali HA
Artif Intell Med; 2021 Sep; 119():102156. PubMed ID: 34531015
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
