BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 35387307)

  • 1. Combining Radiology and Pathology for Automatic Glioma Classification.
    Wang X; Wang R; Yang S; Zhang J; Wang M; Zhong D; Zhang J; Han X
    Front Bioeng Biotechnol; 2022; 10():841958. PubMed ID: 35387307
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multimodal MRI Image Decision Fusion-Based Network for Glioma Classification.
    Guo S; Wang L; Chen Q; Wang L; Zhang J; Zhu Y
    Front Oncol; 2022; 12():819673. PubMed ID: 35280828
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial Intelligence-Assisted Classification of Gliomas Using Whole Slide Images.
    Jose L; Liu S; Russo C; Cong C; Song Y; Rodriguez M; Di Ieva A
    Arch Pathol Lab Med; 2023 Aug; 147(8):916-924. PubMed ID: 36445697
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs.
    Hsu WW; Guo JM; Pei L; Chiang LA; Li YF; Hsiao JC; Colen R; Liu P
    Sci Rep; 2022 Apr; 12(1):6111. PubMed ID: 35414643
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
    Ertosun MG; Rubin DL
    AMIA Annu Symp Proc; 2015; 2015():1899-908. PubMed ID: 26958289
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches.
    Kurc T; Bakas S; Ren X; Bagari A; Momeni A; Huang Y; Zhang L; Kumar A; Thibault M; Qi Q; Wang Q; Kori A; Gevaert O; Zhang Y; Shen D; Khened M; Ding X; Krishnamurthi G; Kalpathy-Cramer J; Davis J; Zhao T; Gupta R; Saltz J; Farahani K
    Front Neurosci; 2020; 14():27. PubMed ID: 32153349
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
    Mzoughi H; Njeh I; Wali A; Slima MB; BenHamida A; Mhiri C; Mahfoudhe KB
    J Digit Imaging; 2020 Aug; 33(4):903-915. PubMed ID: 32440926
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.
    Im S; Hyeon J; Rha E; Lee J; Choi HJ; Jung Y; Kim TJ
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067934
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
    Wen J; Thibeau-Sutre E; Diaz-Melo M; Samper-González J; Routier A; Bottani S; Dormont D; Durrleman S; Burgos N; Colliot O; ;
    Med Image Anal; 2020 Jul; 63():101694. PubMed ID: 32417716
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
    Liu M; Cheng D; Wang K; Wang Y;
    Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
    Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
    BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
    Wei JW; Tafe LJ; Linnik YA; Vaickus LJ; Tomita N; Hassanpour S
    Sci Rep; 2019 Mar; 9(1):3358. PubMed ID: 30833650
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DNA methylation signatures for 2016 WHO classification subtypes of diffuse gliomas.
    Paul Y; Mondal B; Patil V; Somasundaram K
    Clin Epigenetics; 2017; 9():32. PubMed ID: 28392842
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
    Zhang Y; Li H; Du J; Qin J; Wang T; Chen Y; Liu B; Gao W; Ma G; Lei B
    IEEE Trans Med Imaging; 2021 Jun; 40(6):1618-1631. PubMed ID: 33646948
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
    Barker J; Hoogi A; Depeursinge A; Rubin DL
    Med Image Anal; 2016 May; 30():60-71. PubMed ID: 26854941
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks.
    Ge C; Gu IY; Jakola AS; Yang J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5894-5897. PubMed ID: 30441677
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep semi-supervised learning for brain tumor classification.
    Ge C; Gu IY; Jakola AS; Yang J
    BMC Med Imaging; 2020 Jul; 20(1):87. PubMed ID: 32727476
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated brain histology classification using machine learning.
    Ker J; Bai Y; Lee HY; Rao J; Wang L
    J Clin Neurosci; 2019 Aug; 66():239-245. PubMed ID: 31155342
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.