140 related articles for article (PubMed ID: 38155247)
1. 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]
2. MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.
Saeedi S; Rezayi S; Keshavarz H; R Niakan Kalhori S
BMC Med Inform Decis Mak; 2023 Jan; 23(1):16. PubMed ID: 36691030
[TBL] [Abstract][Full Text] [Related]
3. Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.
Albalawi E; T R M; Thakur A; Kumar VV; Gupta M; Khan SB; Almusharraf A
BMC Med Imaging; 2024 May; 24(1):110. PubMed ID: 38750436
[TBL] [Abstract][Full Text] [Related]
4. Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.
K K; S K; K J A; B C
Asian Pac J Cancer Prev; 2024 May; 25(5):1795-1802. PubMed ID: 38809652
[TBL] [Abstract][Full Text] [Related]
5. Refining neural network algorithms for accurate brain tumor classification in MRI imagery.
Alshuhail A; Thakur A; Chandramma R; Mahesh TR; Almusharraf A; Vinoth Kumar V; Khan SB
BMC Med Imaging; 2024 May; 24(1):118. PubMed ID: 38773391
[TBL] [Abstract][Full Text] [Related]
6. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
[TBL] [Abstract][Full Text] [Related]
7. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
Haq EU; Jianjun H; Huarong X; Li K; Weng L
Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
[TBL] [Abstract][Full Text] [Related]
8. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
9. Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling.
Rai HM; Yoo J; Dashkevych S
J Cancer Res Clin Oncol; 2024 Apr; 150(4):220. PubMed ID: 38684578
[TBL] [Abstract][Full Text] [Related]
10. Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu M; Liu Q; Yan C; Sen G
Curr Med Imaging; 2022; 19(1):65-76. PubMed ID: 35430973
[TBL] [Abstract][Full Text] [Related]
11. Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model.
Alanazi MF; Ali MU; Hussain SJ; Zafar A; Mohatram M; Irfan M; AlRuwaili R; Alruwaili M; Ali NH; Albarrak AM
Sensors (Basel); 2022 Jan; 22(1):. PubMed ID: 35009911
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data.
Haque R; Hassan MM; Bairagi AK; Shariful Islam SM
Sci Rep; 2024 Jan; 14(1):1524. PubMed ID: 38233516
[TBL] [Abstract][Full Text] [Related]
14. Brain tumor classification using deep CNN features via transfer learning.
Deepak S; Ameer PM
Comput Biol Med; 2019 Aug; 111():103345. PubMed ID: 31279167
[TBL] [Abstract][Full Text] [Related]
15. A hybrid deep CNN model for brain tumor image multi-classification.
Srinivasan S; Francis D; Mathivanan SK; Rajadurai H; Shivahare BD; Shah MA
BMC Med Imaging; 2024 Jan; 24(1):21. PubMed ID: 38243215
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50.
M MM; T R M; V VK; Guluwadi S
BMC Med Imaging; 2024 May; 24(1):107. PubMed ID: 38734629
[TBL] [Abstract][Full Text] [Related]
18. Brain tumor detection from images and comparison with transfer learning methods and 3-layer CNN.
Khaliki MZ; Başarslan MS
Sci Rep; 2024 Feb; 14(1):2664. PubMed ID: 38302604
[TBL] [Abstract][Full Text] [Related]
19. Brain tumor classification for MR images using transfer learning and fine-tuning.
Swati ZNK; Zhao Q; Kabir M; Ali F; Ali Z; Ahmed S; Lu J
Comput Med Imaging Graph; 2019 Jul; 75():34-46. PubMed ID: 31150950
[TBL] [Abstract][Full Text] [Related]
20. A comparative study for glioma classification using deep convolutional neural networks.
Özcan H; Emiroğlu BG; Sabuncuoğlu H; Özdoğan S; Soyer A; Saygı T
Math Biosci Eng; 2021 Jan; 18(2):1550-1572. PubMed ID: 33757198
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
