BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 35940163)

  • 1. ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification.
    Jawahar M; H S; L JA; Gandomi AH
    Comput Biol Med; 2022 Sep; 148():105894. PubMed ID: 35940163
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques.
    Abunadi I; Senan EM
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214531
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.
    Rezayi S; Mohammadzadeh N; Bouraghi H; Saeedi S; Mohammadpour A
    Comput Intell Neurosci; 2021; 2021():5478157. PubMed ID: 34804144
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks.
    Shafique S; Tehsin S
    Technol Cancer Res Treat; 2018 Jan; 17():1533033818802789. PubMed ID: 30261827
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classifying microscopic images as acute lymphoblastic leukemia by Resnet ensemble model and Taguchi method.
    Chen YM; Chou FI; Ho WH; Tsai JT
    BMC Bioinformatics; 2022 Jan; 22(Suppl 5):615. PubMed ID: 35016610
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling of the Acute Lymphoblastic Leukemia Detection by Convolutional Neural Networks (CNNs).
    Albeeshi AA; Alshanbari HS
    Curr Med Imaging; 2023; 19(7):734-748. PubMed ID: 36239727
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.
    Dabass M; Vashisth S; Vig R
    Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of acute lymphoblastic leukemia using deep learning.
    Rehman A; Abbas N; Saba T; Rahman SIU; Mehmood Z; Kolivand H
    Microsc Res Tech; 2018 Nov; 81(11):1310-1317. PubMed ID: 30351463
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ALLD: Acute Lymphoblastic Leukemia Detector.
    Musleh S; Islam MT; Alam MT; Househ M; Shah Z; Alam T
    Stud Health Technol Inform; 2022 Jan; 289():77-80. PubMed ID: 35062096
    [TBL] [Abstract][Full Text] [Related]  

  • 11. White blood cells detection and classification based on regional convolutional neural networks.
    Kutlu H; Avci E; Özyurt F
    Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.
    Anilkumar KK; Manoj VJ; Sagi TM
    Med Eng Phys; 2021 Dec; 98():8-19. PubMed ID: 34848042
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A novel method for peanut variety identification and classification by Improved VGG16.
    Yang H; Ni J; Gao J; Han Z; Luan T
    Sci Rep; 2021 Aug; 11(1):15756. PubMed ID: 34344983
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min-Max Neural Network for Cervical Cancer Diagnosis.
    Kalbhor M; Shinde S; Popescu DE; Hemanth DJ
    Diagnostics (Basel); 2023 Apr; 13(7):. PubMed ID: 37046581
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification.
    Huang ML; Huang ZB
    Math Biosci Eng; 2024 Jan; 21(2):1959-1978. PubMed ID: 38454670
    [TBL] [Abstract][Full Text] [Related]  

  • 17. BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images.
    Atteia G; Alhussan AA; Samee NA
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification.
    Ekong F; Yu Y; Patamia RA; Feng X; Tang Q; Mazumder P; Cai J
    Diagnostics (Basel); 2022 Jul; 12(7):. PubMed ID: 35885560
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SDCT-AuxNet
    Gehlot S; Gupta A; Gupta R
    Med Image Anal; 2020 Apr; 61():101661. PubMed ID: 32066066
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bangladeshi Native Vehicle Classification Based on Transfer Learning with Deep Convolutional Neural Network.
    Hasan MM; Wang Z; Hussain MAI; Fatima K
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833620
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.