These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
192 related articles for article (PubMed ID: 38701131)
1. Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations. Hussain D; Al-Masni MA; Aslam M; Sadeghi-Niaraki A; Hussain J; Gu YH; Naqvi RA J Xray Sci Technol; 2024; 32(4):857-911. PubMed ID: 38701131 [TBL] [Abstract][Full Text] [Related]
2. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space. Fallahpoor M; Chakraborty S; Pradhan B; Faust O; Barua PD; Chegeni H; Acharya R Comput Methods Programs Biomed; 2024 Jan; 243():107880. PubMed ID: 37924769 [TBL] [Abstract][Full Text] [Related]
3. Medical image analysis using deep learning algorithms. Li M; Jiang Y; Zhang Y; Zhu H Front Public Health; 2023; 11():1273253. PubMed ID: 38026291 [TBL] [Abstract][Full Text] [Related]
4. Advancements in synthetic CT generation from MRI: A review of techniques, and trends in radiation therapy planning. Bahloul MA; Jabeen S; Benoumhani S; Alsaleh HA; Belkhatir Z; Al-Wabil A J Appl Clin Med Phys; 2024 Nov; 25(11):e14499. PubMed ID: 39325781 [TBL] [Abstract][Full Text] [Related]
5. Deep convolutional neural networks for mammography: advances, challenges and applications. Abdelhafiz D; Yang C; Ammar R; Nabavi S BMC Bioinformatics; 2019 Jun; 20(Suppl 11):281. PubMed ID: 31167642 [TBL] [Abstract][Full Text] [Related]
6. Trends in using deep learning algorithms in biomedical prediction systems. Wang Y; Liu L; Wang C Front Neurosci; 2023; 17():1256351. PubMed ID: 38027475 [TBL] [Abstract][Full Text] [Related]
7. Recent Advances in Deep Learning and Medical Imaging for Head and Neck Cancer Treatment: MRI, CT, and PET Scans. Illimoottil M; Ginat D Cancers (Basel); 2023 Jun; 15(13):. PubMed ID: 37444376 [TBL] [Abstract][Full Text] [Related]
8. The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions. Heidari A; Jafari Navimipour N; Unal M; Toumaj S Comput Biol Med; 2022 Feb; 141():105141. PubMed ID: 34929464 [TBL] [Abstract][Full Text] [Related]
9. A review of deep learning-based information fusion techniques for multimodal medical image classification. Li Y; El Habib Daho M; Conze PH; Zeghlache R; Le Boité H; Tadayoni R; Cochener B; Lamard M; Quellec G Comput Biol Med; 2024 Jul; 177():108635. PubMed ID: 38796881 [TBL] [Abstract][Full Text] [Related]
10. Deep Convolutional Neural Networks With Ensemble Learning and Generative Adversarial Networks for Alzheimer's Disease Image Data Classification. Logan R; Williams BG; Ferreira da Silva M; Indani A; Schcolnicov N; Ganguly A; Miller SJ Front Aging Neurosci; 2021; 13():720226. PubMed ID: 34483890 [TBL] [Abstract][Full Text] [Related]
11. Transforming clinical cardiology through neural networks and deep learning: A guide for clinicians. Sutanto H Curr Probl Cardiol; 2024 Apr; 49(4):102454. PubMed ID: 38342351 [TBL] [Abstract][Full Text] [Related]
12. Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives. Illakiya T; Karthik R Neuroinformatics; 2023 Apr; 21(2):339-364. PubMed ID: 36884142 [TBL] [Abstract][Full Text] [Related]
13. Deep Learning Aided Neuroimaging and Brain Regulation. Xu M; Ouyang Y; Yuan Z Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299724 [TBL] [Abstract][Full Text] [Related]
14. Cancer Diagnosis Using Deep Learning: A Bibliographic Review. Munir K; Elahi H; Ayub A; Frezza F; Rizzi A Cancers (Basel); 2019 Aug; 11(9):. PubMed ID: 31450799 [TBL] [Abstract][Full Text] [Related]
15. A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images. Bhulakshmi D; Rajput DS PeerJ Comput Sci; 2024; 10():e1947. PubMed ID: 38699206 [TBL] [Abstract][Full Text] [Related]
16. Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities. Moawad AW; Fuentes DT; ElBanan MG; Shalaby AS; Guccione J; Kamel S; Jensen CT; Elsayes KM J Comput Assist Tomogr; 2022 Jan-Feb 01; 46(1):78-90. PubMed ID: 35027520 [TBL] [Abstract][Full Text] [Related]
17. Deep learning-based multimodal spatial transcriptomics analysis for cancer. Rajdeo P; Aronow B; Surya Prasath VB Adv Cancer Res; 2024; 163():1-38. PubMed ID: 39271260 [TBL] [Abstract][Full Text] [Related]
18. A review of deep learning approaches for multimodal image segmentation of liver cancer. Wu C; Chen Q; Wang H; Guan Y; Mian Z; Huang C; Ruan C; Song Q; Jiang H; Pan J; Li X J Appl Clin Med Phys; 2024 Dec; 25(12):e14540. PubMed ID: 39374312 [TBL] [Abstract][Full Text] [Related]
19. 3D Deep Learning on Medical Images: A Review. Singh SP; Wang L; Gupta S; Goli H; Padmanabhan P; Gulyás B Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32906819 [TBL] [Abstract][Full Text] [Related]
20. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI. Arabi H; Zeng G; Zheng G; Zaidi H Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2746-2759. PubMed ID: 31264170 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]