BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

629 related articles for article (PubMed ID: 31813483)

  • 1. Automated classification of histopathology images using transfer learning.
    Talo M
    Artif Intell Med; 2019 Nov; 101():101743. PubMed ID: 31813483
    [TBL] [Abstract][Full Text] [Related]  

  • 2. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
    Albahli S; Ahmad Hassan Yar GN
    J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Convolutional neural networks for multi-class brain disease detection using MRI images.
    Talo M; Yildirim O; Baloglu UB; Aydin G; Acharya UR
    Comput Med Imaging Graph; 2019 Dec; 78():101673. PubMed ID: 31635910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network.
    Das N; Hussain E; Mahanta LB
    Neural Netw; 2020 Aug; 128():47-60. PubMed ID: 32416467
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fusing hand-crafted and deep-learning features in a convolutional neural network model to identify prostate cancer in pathology images.
    Huang X; Li Z; Zhang M; Gao S
    Front Oncol; 2022; 12():994950. PubMed ID: 36237311
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning.
    Srikantamurthy MM; Rallabandi VPS; Dudekula DB; Natarajan S; Park J
    BMC Med Imaging; 2023 Jan; 23(1):19. PubMed ID: 36717788
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.
    Chen CM; Huang YS; Fang PW; Liang CW; Chang RF
    Med Phys; 2020 Mar; 47(3):1021-1033. PubMed ID: 31834623
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images.
    Oyelade ON; Ezugwu AE; Venter HS; Mirjalili S; Gandomi AH
    Comput Biol Med; 2022 Oct; 149():105943. PubMed ID: 35986967
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Deep learning for colon cancer histopathological images analysis.
    Ben Hamida A; Devanne M; Weber J; Truntzer C; Derangère V; Ghiringhelli F; Forestier G; Wemmert C
    Comput Biol Med; 2021 Sep; 136():104730. PubMed ID: 34375901
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hybrid Convolution Neural Network in Classification of Cancer in Histopathology Images.
    Angayarkanni SP
    J Digit Imaging; 2022 Apr; 35(2):248-257. PubMed ID: 35022925
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning approach to assess damage mechanics of bone tissue.
    Shen SC; Peña Fernández M; Tozzi G; Buehler MJ
    J Mech Behav Biomed Mater; 2021 Nov; 123():104761. PubMed ID: 34450416
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals.
    Yildirim O; Talo M; Ay B; Baloglu UB; Aydin G; Acharya UR
    Comput Biol Med; 2019 Oct; 113():103387. PubMed ID: 31421276
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach.
    Bajpai R; Yuvaraj R; Prince AA
    Comput Biol Med; 2021 Jun; 133():104434. PubMed ID: 33946023
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations.
    Choi K; Choi SJ; Kim ES
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1156-1159. PubMed ID: 33018192
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.
    Hussain E; Mahanta LB; Das CR; Talukdar RK
    Tissue Cell; 2020 Aug; 65():101347. PubMed ID: 32746984
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.
    Tripathi S; Singh SK; Lee HK
    Comput Med Imaging Graph; 2021 Jan; 87():101838. PubMed ID: 33340945
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.
    Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH
    Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Impact of pre-analytical variables on deep learning accuracy in histopathology.
    Jones AD; Graff JP; Darrow M; Borowsky A; Olson KA; Gandour-Edwards R; Datta Mitra A; Wei D; Gao G; Durbin-Johnson B; Rashidi HH
    Histopathology; 2019 Jul; 75(1):39-53. PubMed ID: 30801768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 32.