BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38302604)

  • 1. 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]  

  • 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. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
    Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
    Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Brain tumour classification of magnetic resonance images using a novel CNN-based medical image analysis and detection network in comparison to VGG16.
    Mohan R; Ganapathy K; A R
    J Popul Ther Clin Pharmacol; 2022; 28(2):e113-e125. PubMed ID: 35213110
    [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. Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images.
    Srinivas C; K S NP; Zakariah M; Alothaibi YA; Shaukat K; Partibane B; Awal H
    J Healthc Eng; 2022; 2022():3264367. PubMed ID: 35299683
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Brain tumor classification of magnetic resonance images using a novel CNN-based medical image analysis and detection network in comparison with AlexNet.
    Ramya M; Kirupa G; Rama A
    J Popul Ther Clin Pharmacol; 2022; 29(1):e97-e108. PubMed ID: 35686901
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
    Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
    J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
    Banzato T; Bernardini M; Cherubini GB; Zotti A
    BMC Vet Res; 2018 Oct; 14(1):317. PubMed ID: 30348148
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
    Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
    Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Brain tumor classification in MRI image using convolutional neural network.
    Khan HA; Jue W; Mushtaq M; Mushtaq MU
    Math Biosci Eng; 2020 Sep; 17(5):6203-6216. PubMed ID: 33120595
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Brain Tumor Classification Using Deep Neural Network and Transfer Learning.
    Kumar S; Choudhary S; Jain A; Singh K; Ahmadian A; Bajuri MY
    Brain Topogr; 2023 May; 36(3):305-318. PubMed ID: 37061591
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images.
    Cekic E; Pinar E; Pinar M; Dagcinar A
    World Neurosurg; 2024 Feb; 182():e196-e204. PubMed ID: 38030068
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning-based automatic detection of tuberculosis disease in chest X-ray images.
    Showkatian E; Salehi M; Ghaffari H; Reiazi R; Sadighi N
    Pol J Radiol; 2022; 87():e118-e124. PubMed ID: 35280947
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.