292 related articles for article (PubMed ID: 30261827)
1. 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]
2. 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]
3. Computer aided detection and classification of acute lymphoblastic leukemia cell subtypes based on microscopic image analysis.
MoradiAmin M; Memari A; Samadzadehaghdam N; Kermani S; Talebi A
Microsc Res Tech; 2016 Oct; 79(10):908-916. PubMed ID: 27406956
[TBL] [Abstract][Full Text] [Related]
4. Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms.
Acharya V; Kumar P
Med Biol Eng Comput; 2019 Aug; 57(8):1783-1811. PubMed ID: 31201595
[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. 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]
7. 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]
8. Cytopathological image analysis using deep-learning networks in microfluidic microscopy.
Gopakumar G; Hari Babu K; Mishra D; Gorthi SS; Sai Subrahmanyam GR
J Opt Soc Am A Opt Image Sci Vis; 2017 Jan; 34(1):111-121. PubMed ID: 28059233
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network.
MoradiAmin M; Yousefpour M; Samadzadehaghdam N; Ghahari L; Ghorbani M; Mafi M
Microsc Res Tech; 2024 Mar; ():. PubMed ID: 38445461
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Classification of teeth in cone-beam CT using deep convolutional neural network.
Miki Y; Muramatsu C; Hayashi T; Zhou X; Hara T; Katsumata A; Fujita H
Comput Biol Med; 2017 Jan; 80():24-29. PubMed ID: 27889430
[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. 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]
15. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
16. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images.
Das BK; Dutta HS
Med Biol Eng Comput; 2020 Nov; 58(11):2789-2803. PubMed ID: 32929660
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Nucleus and cytoplasm-based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images.
Jha KK; Dutta HS
Med Biol Eng Comput; 2020 Jan; 58(1):171-186. PubMed ID: 31811554
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]