These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 31367223)

  • 21. Flower Mapping in Grasslands With Drones and Deep Learning.
    Gallmann J; Schüpbach B; Jacot K; Albrecht M; Winizki J; Kirchgessner N; Aasen H
    Front Plant Sci; 2021; 12():774965. PubMed ID: 35222449
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Black gram Plant Leaf Disease (BPLD) dataset for recognition and classification of diseases using computer-vision algorithms.
    Talasila S; Rawal K; Sethi G; Mss S; M SPR
    Data Brief; 2022 Dec; 45():108725. PubMed ID: 36426030
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification.
    Unger J; Merhof D; Renner S
    BMC Evol Biol; 2016 Nov; 16(1):248. PubMed ID: 27852219
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Image dataset on the Chinese medicinal blossoms for classification through convolutional neural network.
    Huang ML; Xu YX; Liao YC
    Data Brief; 2021 Dec; 39():107655. PubMed ID: 34926737
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Mechanisms and function of flower and inflorescence reversion.
    Tooke F; Ordidge M; Chiurugwi T; Battey N
    J Exp Bot; 2005 Oct; 56(420):2587-99. PubMed ID: 16131510
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 27. RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.
    Yasrab R; Atkinson JA; Wells DM; French AP; Pridmore TP; Pound MP
    Gigascience; 2019 Nov; 8(11):. PubMed ID: 31702012
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Plant image identification application demonstrates high accuracy in Northern Europe.
    Pärtel J; Pärtel M; Wäldchen J
    AoB Plants; 2021 Aug; 13(4):plab050. PubMed ID: 34457230
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Flower vs. leaf feeding by Pieris brassicae: glucosinolate-rich flower tissues are preferred and sustain higher growth rate.
    Smallegange RC; van Loon JJ; Blatt SE; Harvey JA; Agerbirk N; Dicke M
    J Chem Ecol; 2007 Oct; 33(10):1831-44. PubMed ID: 17828429
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Classification of Plant Leaves Using New Compact Convolutional Neural Network Models.
    Wagle SA; Harikrishnan R; Ali SHM; Faseehuddin M
    Plants (Basel); 2021 Dec; 11(1):. PubMed ID: 35009029
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Rice leaf diseases prediction using deep neural networks with transfer learning.
    N K; Narasimha Prasad LV; Pavan Kumar CS; Subedi B; Abraha HB; V E S
    Environ Res; 2021 Jul; 198():111275. PubMed ID: 33989629
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning.
    Kusunose K; Haga A; Inoue M; Fukuda D; Yamada H; Sata M
    Biomolecules; 2020 Apr; 10(5):. PubMed ID: 32344829
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Using Deep Learning to Identify Costa Rican Native Tree Species From Wood Cut Images.
    Figueroa-Mata G; Mata-Montero E; Valverde-Otárola JC; Arias-Aguilar D; Zamora-Villalobos N
    Front Plant Sci; 2022; 13():789227. PubMed ID: 35432415
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Leaf disease image retrieval with object detection and deep metric learning.
    Peng Y; Wang Y
    Front Plant Sci; 2022; 13():963302. PubMed ID: 36176678
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2.
    Tabak MA; Norouzzadeh MS; Wolfson DW; Newton EJ; Boughton RK; Ivan JS; Odell EA; Newkirk ES; Conrey RY; Stenglein J; Iannarilli F; Erb J; Brook RK; Davis AJ; Lewis J; Walsh DP; Beasley JC; VerCauteren KC; Clune J; Miller RS
    Ecol Evol; 2020 Oct; 10(19):10374-10383. PubMed ID: 33072266
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Few-shot cotton leaf spots disease classification based on metric learning.
    Liang X
    Plant Methods; 2021 Nov; 17(1):114. PubMed ID: 34749780
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Using a Convolutional Siamese Network for Image-Based Plant Species Identification with Small Datasets.
    Figueroa-Mata G; Mata-Montero E
    Biomimetics (Basel); 2020 Mar; 5(1):. PubMed ID: 32121572
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Quantifying plant colour and colour difference as perceived by humans using digital images.
    Kendal D; Hauser CE; Garrard GE; Jellinek S; Giljohann KM; Moore JL
    PLoS One; 2013; 8(8):e72296. PubMed ID: 23977275
    [TBL] [Abstract][Full Text] [Related]  

  • 39. DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field.
    Jiang Y; Li C; Xu R; Sun S; Robertson JS; Paterson AH
    Plant Methods; 2020 Dec; 16(1):156. PubMed ID: 33372635
    [TBL] [Abstract][Full Text] [Related]  

  • 40. HairNet: a deep learning model to score leaf hairiness, a key phenotype for cotton fibre yield, value and insect resistance.
    Rolland V; Farazi MR; Conaty WC; Cameron D; Liu S; Petersson L; Stiller WN
    Plant Methods; 2022 Jan; 18(1):8. PubMed ID: 35042523
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.