151 related articles for article (PubMed ID: 38689289)
1. Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering.
Zubair Rahman AMJ; Gupta M; Aarathi S; Mahesh TR; Vinoth Kumar V; Yogesh Kumaran S; Guluwadi S
BMC Med Inform Decis Mak; 2024 Apr; 24(1):113. PubMed ID: 38689289
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
Ottom MA; Rahman HA; Dinov ID
IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
[TBL] [Abstract][Full Text] [Related]
5. Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions.
Batool A; Byun YC
Comput Biol Med; 2024 Jun; 175():108412. PubMed ID: 38691914
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning for Smart Healthcare-A Survey on Brain Tumor Detection from Medical Imaging.
Arabahmadi M; Farahbakhsh R; Rezazadeh J
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271115
[TBL] [Abstract][Full Text] [Related]
7. Advance computer analysis of magnetic resonance imaging (MRI) for early brain tumor detection.
Mittal N; Tayal S
Int J Neurosci; 2021 Jun; 131(6):555-570. PubMed ID: 32241208
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Hybrid Techniques for Brain Tumor Segmentation.
Munir K; Frezza F; Rizzi A
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365900
[TBL] [Abstract][Full Text] [Related]
9. Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification.
S SP; A S; T K; S D
Electromagn Biol Med; 2024 Apr; 43(1-2):31-45. PubMed ID: 38369844
[TBL] [Abstract][Full Text] [Related]
10. An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.
Thillaikkarasi R; Saravanan S
J Med Syst; 2019 Feb; 43(4):84. PubMed ID: 30810822
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning AI Applications in the Imaging of Glioma.
Zlochower A; Chow DS; Chang P; Khatri D; Boockvar JA; Filippi CG
Top Magn Reson Imaging; 2020 Apr; 29(2):115-0. PubMed ID: 32271288
[TBL] [Abstract][Full Text] [Related]
12. Machine learning and deep learning for brain tumor MRI image segmentation.
Khan MKH; Guo W; Liu J; Dong F; Li Z; Patterson TA; Hong H
Exp Biol Med (Maywood); 2023 Nov; 248(21):1974-1992. PubMed ID: 38102956
[TBL] [Abstract][Full Text] [Related]
13. DACBT: deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment.
Haq AU; Li JP; Khan S; Alshara MA; Alotaibi RM; Mawuli C
Sci Rep; 2022 Sep; 12(1):15331. PubMed ID: 36097024
[TBL] [Abstract][Full Text] [Related]
14. Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools.
Ranjbarzadeh R; Caputo A; Tirkolaee EB; Jafarzadeh Ghoushchi S; Bendechache M
Comput Biol Med; 2023 Jan; 152():106405. PubMed ID: 36512875
[TBL] [Abstract][Full Text] [Related]
15. Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net.
Ilhan A; Sekeroglu B; Abiyev R
Int J Comput Assist Radiol Surg; 2022 Mar; 17(3):589-600. PubMed ID: 35092598
[TBL] [Abstract][Full Text] [Related]
16. AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2019 Feb; 32(1):105-115. PubMed ID: 30039425
[TBL] [Abstract][Full Text] [Related]
17. Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data.
Fringuello Mingo A; Colombo Serra S; Macula A; Bella D; La Cava F; Alì M; Papa S; Tedoldi F; Smits M; Bifone A; Valbusa G
Invest Radiol; 2023 Dec; 58(12):853-864. PubMed ID: 37378418
[TBL] [Abstract][Full Text] [Related]
18. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
19. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
[TBL] [Abstract][Full Text] [Related]
20. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]