307 related articles for article (PubMed ID: 33343851)
1. 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]
2. Machine learning applications in the diagnosis of leukemia: Current trends and future directions.
Salah HT; Muhsen IN; Salama ME; Owaidah T; Hashmi SK
Int J Lab Hematol; 2019 Dec; 41(6):717-725. PubMed ID: 31498973
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. [Leukemia].
Schalhorn A
MMW Fortschr Med; 2013 Nov; 155(19):48-52; quiz 53. PubMed ID: 24475671
[No Abstract] [Full Text] [Related]
8. Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System.
Sekhar A; Biswas S; Hazra R; Sunaniya AK; Mukherjee A; Yang L
IEEE J Biomed Health Inform; 2022 Mar; 26(3):983-991. PubMed ID: 34324425
[TBL] [Abstract][Full Text] [Related]
9. Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring.
Yıldırım E; Cicioğlu M; Çalhan A
Med Biol Eng Comput; 2023 May; 61(5):1133-1147. PubMed ID: 36670240
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System.
Rajan JP; Rajan SE; Martis RJ; Panigrahi BK
J Med Syst; 2019 Dec; 44(2):34. PubMed ID: 31853735
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System.
Awotunde JB; Imoize AL; Ayoade OB; Abiodun MK; Do DT; Silva A; Sur SN
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560057
[TBL] [Abstract][Full Text] [Related]
14. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
[TBL] [Abstract][Full Text] [Related]
15. Identification of Leukemia Subtypes from Microscopic Images Using Convolutional Neural Network.
Ahmed N; Yigit A; Isik Z; Alpkocak A
Diagnostics (Basel); 2019 Aug; 9(3):. PubMed ID: 31450720
[TBL] [Abstract][Full Text] [Related]
16. Optimizing the classification of acute lymphoblastic leukemia and acute myeloid leukemia samples using artificial neural networks.
Zong N; Adjouadi M; Ayala M
Biomed Sci Instrum; 2006; 42():261-6. PubMed ID: 16817618
[TBL] [Abstract][Full Text] [Related]
17. Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems.
Khalil AA; E Ibrahim F; Abbass MY; Haggag N; Mahrous Y; Sedik A; Elsherbeeny Z; Khalaf AAM; Rihan M; El-Shafai W; El-Banby GM; Soltan E; Soliman NF; Algarni AD; Al-Hanafy W; El-Fishawy AS; El-Rabaie EM; Al-Nuaimy W; Dessouky MI; Saleeb AA; Messiha NW; El-Dokany IM; El-Bendary MAM; Abd El-Samie FE
Int J Numer Method Biomed Eng; 2022 Jan; 38(1):e3530. PubMed ID: 34506081
[TBL] [Abstract][Full Text] [Related]
18. Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Comput Math Methods Med; 2019; 2019():7546215. PubMed ID: 31641370
[TBL] [Abstract][Full Text] [Related]
19. Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images.
Masood A; Sheng B; Li P; Hou X; Wei X; Qin J; Feng D
J Biomed Inform; 2018 Mar; 79():117-128. PubMed ID: 29366586
[TBL] [Abstract][Full Text] [Related]
20. Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology.
Belacel N; Vincke P; Scheiff JM; Boulassel MR
Comput Methods Programs Biomed; 2001 Feb; 64(2):145-151. PubMed ID: 11137198
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]