242 related articles for article (PubMed ID: 34884029)
1. IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification.
Pałczyński K; Śmigiel S; Gackowska M; Ledziński D; Bujnowski S; Lutowski Z
Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884029
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection.
El Alaoui Y; Padmanabhan R; Elomri A; Qaraqe MK; El Omri H; Yasin Taha R
Stud Health Technol Inform; 2023 Jun; 305():265-268. PubMed ID: 37387013
[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. 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]
6. Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas.
Hamdi M; Senan EM; Jadhav ME; Olayah F; Awaji B; Alalayah KM
Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443652
[TBL] [Abstract][Full Text] [Related]
7. Design of an integrated model for diagnosis and classification of pediatric acute leukemia using machine learning.
Fathi E; Rezaee MJ; Tavakkoli-Moghaddam R; Alizadeh A; Montazer A
Proc Inst Mech Eng H; 2020 Oct; 234(10):1051-1069. PubMed ID: 32633668
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. AIMIC: Deep Learning for Microscopic Image Classification.
Liu R; Dai W; Wu T; Wang M; Wan S; Liu J
Comput Methods Programs Biomed; 2022 Nov; 226():107162. PubMed ID: 36209624
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.
Anwar S; Alam A
Med Biol Eng Comput; 2020 Dec; 58(12):3113-3121. PubMed ID: 33159270
[TBL] [Abstract][Full Text] [Related]
14. Diagnosis of urinary tract infection based on artificial intelligence methods.
Ozkan IA; Koklu M; Sert IU
Comput Methods Programs Biomed; 2018 Nov; 166():51-59. PubMed ID: 30415718
[TBL] [Abstract][Full Text] [Related]
15. Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles.
Elsisi M; Tran MQ
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960561
[TBL] [Abstract][Full Text] [Related]
16. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
17. Intelligent Medical IoT-Enabled Automated Microscopic Image Diagnosis of Acute Blood Cancers.
Karar ME; Alotaibi B; Alotaibi M
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336523
[TBL] [Abstract][Full Text] [Related]
18. Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach.
Mahmood N; Shahid S; Bakhshi T; Riaz S; Ghufran H; Yaqoob M
Med Biol Eng Comput; 2020 Nov; 58(11):2631-2640. PubMed ID: 32840766
[TBL] [Abstract][Full Text] [Related]
19. Quantization Friendly MobileNet (QF-MobileNet) Architecture for Vision Based Applications on Embedded Platforms.
Kulkarni U; S M M; Gurlahosur SV; Bhogar G
Neural Netw; 2021 Apr; 136():28-39. PubMed ID: 33429131
[TBL] [Abstract][Full Text] [Related]
20. [Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].
Yu YY
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jan; 23(1):33-37. PubMed ID: 31958928
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]