808 related articles for article (PubMed ID: 35894026)
21. Design and Development of Hypertuned Deep learning Frameworks for Detection and Severity Grading of Brain Tumor using Medical Brain MR images.
Bhardwaj N; Sood M; Gill SS
Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38494939
[TBL] [Abstract][Full Text] [Related]
22. A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.
Ahmad S; Ullah T; Ahmad I; Al-Sharabi A; Ullah K; Khan RA; Rasheed S; Ullah I; Uddin MN; Ali MS
Comput Intell Neurosci; 2022; 2022():8141530. PubMed ID: 35785076
[TBL] [Abstract][Full Text] [Related]
23. Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks.
Appiah R; Pulletikurthi V; Esquivel-Puentes HA; Cabrera C; Hasan NI; Dharmarathne S; Gomez LJ; Castillo L
Comput Methods Programs Biomed; 2024 Jun; 250():108167. PubMed ID: 38669717
[TBL] [Abstract][Full Text] [Related]
24. Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification.
Lakshmi A; Alagarsamy M; Anbarasa Pandian A; Paramathi Mani D
Electromagn Biol Med; 2024 Apr; 43(1-2):1-18. PubMed ID: 38217513
[TBL] [Abstract][Full Text] [Related]
25. Detection and classification of brain tumor using hybrid deep learning models.
Babu Vimala B; Srinivasan S; Mathivanan SK; Mahalakshmi ; Jayagopal P; Dalu GT
Sci Rep; 2023 Dec; 13(1):23029. PubMed ID: 38155247
[TBL] [Abstract][Full Text] [Related]
26. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Shin HC; Roth HR; Gao M; Lu L; Xu Z; Nogues I; Yao J; Mollura D; Summers RM
IEEE Trans Med Imaging; 2016 May; 35(5):1285-98. PubMed ID: 26886976
[TBL] [Abstract][Full Text] [Related]
27. Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging.
Reyes D; Sánchez J
Heliyon; 2024 Feb; 10(3):e25468. PubMed ID: 38352765
[TBL] [Abstract][Full Text] [Related]
28. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.
Soleimani P; Farezi N
Sci Rep; 2023 Nov; 13(1):19808. PubMed ID: 37957203
[TBL] [Abstract][Full Text] [Related]
29. DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma.
Kadirappa R; S D; R P; Ko SB
Microsc Res Tech; 2024 Feb; 87(2):229-256. PubMed ID: 37750465
[TBL] [Abstract][Full Text] [Related]
30. Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model.
Bordbar M; Helfroush MS; Danyali H; Ejtehadi F
Biomed Eng Online; 2023 Dec; 22(1):124. PubMed ID: 38098015
[TBL] [Abstract][Full Text] [Related]
31. A Novel Ensemble Framework for Multi-Classification of Brain Tumors Using Magnetic Resonance Imaging.
Çetin-Kaya Y; Kaya M
Diagnostics (Basel); 2024 Feb; 14(4):. PubMed ID: 38396422
[TBL] [Abstract][Full Text] [Related]
32. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.
Abd-Ellah MK; Awad AI; Khalaf AAM; Ibraheem AM
Sci Rep; 2024 Apr; 14(1):9501. PubMed ID: 38664436
[TBL] [Abstract][Full Text] [Related]
33. Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
Thakur S; Doshi J; Pati S; Rathore S; Sako C; Bilello M; Ha SM; Shukla G; Flanders A; Kotrotsou A; Milchenko M; Liem S; Alexander GS; Lombardo J; Palmer JD; LaMontagne P; Nazeri A; Talbar S; Kulkarni U; Marcus D; Colen R; Davatzikos C; Erus G; Bakas S
Neuroimage; 2020 Oct; 220():117081. PubMed ID: 32603860
[TBL] [Abstract][Full Text] [Related]
34. Interpreting deep learning models for glioma survival classification using visualization and textual explanations.
Osadebey M; Liu Q; Fuster-Garcia E; Emblem KE
BMC Med Inform Decis Mak; 2023 Oct; 23(1):225. PubMed ID: 37853371
[TBL] [Abstract][Full Text] [Related]
35. Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform.
Prakash BV; Kannan AR; Santhiyakumari N; Kumarganesh S; Raja DSS; Hephzipah JJ; MartinSagayam K; Pomplun M; Dang H
Sci Rep; 2023 Sep; 13(1):14522. PubMed ID: 37666922
[TBL] [Abstract][Full Text] [Related]
36. TumorDetNet: A unified deep learning model for brain tumor detection and classification.
Ullah N; Javed A; Alhazmi A; Hasnain SM; Tahir A; Ashraf R
PLoS One; 2023; 18(9):e0291200. PubMed ID: 37756305
[TBL] [Abstract][Full Text] [Related]
37. BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification.
Ullah MS; Khan MA; Almujally NA; Alhaisoni M; Akram T; Shabaz M
Sci Rep; 2024 Mar; 14(1):5895. PubMed ID: 38467755
[TBL] [Abstract][Full Text] [Related]
38. A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification.
Mondal A; Shrivastava VK
Comput Biol Med; 2022 Nov; 150():106183. PubMed ID: 37859281
[TBL] [Abstract][Full Text] [Related]
39. Hierarchical neural architecture search with adaptive global-local feature learning for Magnetic Resonance Image reconstruction.
Cao C; Huang W; Hu F; Gao X
Comput Biol Med; 2024 Jan; 168():107774. PubMed ID: 38039897
[TBL] [Abstract][Full Text] [Related]
40. An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble.
Sahoo S; Mishra S; Panda B; Bhoi AK; Barsocchi P
Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571713
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]