BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 35062096)

  • 1. 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]  

  • 2. Optimal Deep Transfer Learning-Based Human-Centric Biomedical Diagnosis for Acute Lymphoblastic Leukemia Detection.
    Hamza MA; Albraikan AA; Alzahrani JS; Dhahbi S; Al-Turaiki I; Al Duhayyim M; Yaseen I; Eldesouki MI
    Comput Intell Neurosci; 2022; 2022():7954111. PubMed ID: 35676951
    [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. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.
    Bibi N; Sikandar M; Ud Din I; Almogren A; Ali S
    J Healthc Eng; 2020; 2020():6648574. PubMed ID: 33343851
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images.
    Jha KK; Dutta HS
    Comput Methods Programs Biomed; 2019 Oct; 179():104987. PubMed ID: 31443862
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.
    Rodrigues LF; Backes AR; Travençolo BAN; de Oliveira GMB
    J Digit Imaging; 2022 Jun; 35(3):623-637. PubMed ID: 35199257
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.
    Al-Antari MA; Han SM; Kim TS
    Comput Methods Programs Biomed; 2020 Nov; 196():105584. PubMed ID: 32554139
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
    Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
    J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Aggregated-Based Deep Learning Method for Leukemic B-lymphoblast Classification.
    Kasani PH; Park SW; Jang JW
    Diagnostics (Basel); 2020 Dec; 10(12):. PubMed ID: 33302591
    [TBL] [Abstract][Full Text] [Related]  

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

  • 17. Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model.
    Jiang Z; Dong Z; Wang L; Jiang W
    Comput Intell Neurosci; 2021; 2021():7529893. PubMed ID: 34471407
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Efficient diagnosis of hematologic malignancies using bone marrow microscopic images: A method based on MultiPathGAN and MobileViTv2.
    Yang G; Qin Z; Mu J; Mao H; Mao H; Han M
    Comput Methods Programs Biomed; 2023 Jul; 237():107583. PubMed ID: 37167882
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.