511 related articles for article (PubMed ID: 29428061)
1. Classification of cancer cells using computational analysis of dynamic morphology.
Hasan MR; Hassan N; Khan R; Kim YT; Iqbal SM
Comput Methods Programs Biomed; 2018 Mar; 156():105-112. PubMed ID: 29428061
[TBL] [Abstract][Full Text] [Related]
2. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
[TBL] [Abstract][Full Text] [Related]
3. Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.
Hussain L; Saeed S; Awan IA; Idris A; Nadeem MSA; Chaudhry QU
Curr Med Imaging Rev; 2019; 15(6):595-606. PubMed ID: 32008569
[TBL] [Abstract][Full Text] [Related]
4. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
[TBL] [Abstract][Full Text] [Related]
5. Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.
Nanmaran R; Srimathi S; Yamuna G; Thanigaivel S; Vickram AS; Priya AK; Karthick A; Karpagam J; Mohanavel V; Muhibbullah M
Comput Math Methods Med; 2022; 2022():7137524. PubMed ID: 35178119
[TBL] [Abstract][Full Text] [Related]
6. Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room.
Cho Y; Lee A; Park J; Ko B; Kim N
Comput Methods Programs Biomed; 2018 Jul; 161():39-44. PubMed ID: 29852966
[TBL] [Abstract][Full Text] [Related]
7. A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network.
Fiannaca A; La Rosa M; Rizzo R; Urso A
Artif Intell Med; 2015 Jul; 64(3):173-84. PubMed ID: 26170017
[TBL] [Abstract][Full Text] [Related]
8. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
Russo DP; Zorn KM; Clark AM; Zhu H; Ekins S
Mol Pharm; 2018 Oct; 15(10):4361-4370. PubMed ID: 30114914
[TBL] [Abstract][Full Text] [Related]
9. Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.
Acharya UR; Vinitha Sree S; Krishnan MM; Molinari F; Garberoglio R; Suri JS
Ultrasonics; 2012 Apr; 52(4):508-20. PubMed ID: 22154208
[TBL] [Abstract][Full Text] [Related]
10. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.
Chang Y; Lim J; Kim N; Seo JB; Lynch DA
Med Phys; 2013 May; 40(5):051912. PubMed ID: 23635282
[TBL] [Abstract][Full Text] [Related]
11. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
12. Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA.
Mbiki S; McClendon J; Alexander-Bryant A; Gilmore J
Med Biol Eng Comput; 2020 Jul; 58(7):1419-1430. PubMed ID: 32314170
[TBL] [Abstract][Full Text] [Related]
13. Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.
El Houby EMF
J Med Syst; 2018 Jul; 42(8):157. PubMed ID: 29995204
[TBL] [Abstract][Full Text] [Related]
14. Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers.
Siuly ; Yin X; Hadjiloucas S; Zhang Y
Comput Methods Programs Biomed; 2016 Apr; 127():64-82. PubMed ID: 27000290
[TBL] [Abstract][Full Text] [Related]
15. Reviewing ensemble classification methods in breast cancer.
Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
[TBL] [Abstract][Full Text] [Related]
16. Objective and automatic classification of Parkinson disease with Leap Motion controller.
Butt AH; Rovini E; Dolciotti C; De Petris G; Bongioanni P; Carboncini MC; Cavallo F
Biomed Eng Online; 2018 Nov; 17(1):168. PubMed ID: 30419916
[TBL] [Abstract][Full Text] [Related]
17. A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data.
Hu Y; Hase T; Li HP; Prabhakar S; Kitano H; Ng SK; Ghosh S; Wee LJ
BMC Genomics; 2016 Dec; 17(Suppl 13):1025. PubMed ID: 28155657
[TBL] [Abstract][Full Text] [Related]
18. Brain tumor detection using statistical and machine learning method.
Amin J; Sharif M; Raza M; Saba T; Anjum MA
Comput Methods Programs Biomed; 2019 Aug; 177():69-79. PubMed ID: 31319962
[TBL] [Abstract][Full Text] [Related]
19. A comparison of methods for three-class mammograms classification.
Milosevic M; Jovanovic Z; Jankovic D
Technol Health Care; 2017 Aug; 25(4):657-670. PubMed ID: 28436405
[TBL] [Abstract][Full Text] [Related]
20. Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.
Imura T; Toda H; Iwamoto Y; Inagawa T; Imada N; Tanaka R; Inoue Y; Araki H; Araki O
J Stroke Cerebrovasc Dis; 2021 Oct; 30(10):106011. PubMed ID: 34325274
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
