BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

489 related articles for article (PubMed ID: 36035291)

  • 1. 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]  

  • 2. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
    Aswani K; Menaka D
    BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [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. 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. A Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor.
    Gurunathan A; Krishnan B
    Brain Imaging Behav; 2022 Jun; 16(3):1410-1427. PubMed ID: 35048264
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
    Cui S; Mao L; Jiang J; Liu C; Xiong S
    J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of magnetic resonance image segmentation in brain low-grade gliomas using support vector machine and convolutional neural network.
    Yang Q; Zhang H; Xia J; Zhang X
    Quant Imaging Med Surg; 2021 Jan; 11(1):300-316. PubMed ID: 33392030
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Brain tumor segmentation using holistically nested neural networks in MRI images.
    Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
    Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images.
    Pei L; Vidyaratne L; Rahman MM; Iftekharuddin KM
    Sci Rep; 2020 Nov; 10(1):19726. PubMed ID: 33184301
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
    Kutlu H; Avcı E
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.
    Chen H; Ban D; Qi XS; Pan X; Qiang Y; Yang Q
    Med Phys; 2021 Nov; 48(11):7360-7371. PubMed ID: 34101842
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
    Rachmadi MF; Valdés-Hernández MDC; Agan MLF; Di Perri C; Komura T;
    Comput Med Imaging Graph; 2018 Jun; 66():28-43. PubMed ID: 29523002
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.