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 *

140 related articles for article (PubMed ID: 38328295)

  • 21. Out-of-Distribution Detection Algorithms for Robust Insect Classification.
    Saadati M; Balu A; Chiranjeevi S; Jubery TZ; Singh AK; Sarkar S; Singh A; Ganapathysubramanian B
    Plant Phenomics; 2024; 6():0170. PubMed ID: 38699404
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Comprehensive watermelon disease recognition dataset.
    Nakib MI; Mridha MF
    Data Brief; 2024 Apr; 53():110182. PubMed ID: 38425879
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Field pest monitoring and forecasting system for pest control.
    Liu C; Zhai Z; Zhang R; Bai J; Zhang M
    Front Plant Sci; 2022; 13():990965. PubMed ID: 36105712
    [TBL] [Abstract][Full Text] [Related]  

  • 24. PlantInfoCMS: Scalable Plant Disease Information Collection and Management System for Training AI Models.
    Jin D; Yin H; Zheng R; Yoo SJ; Gu YH
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299759
    [TBL] [Abstract][Full Text] [Related]  

  • 25. CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture.
    Zheng YY; Kong JL; Jin XB; Wang XY; Zuo M
    Sensors (Basel); 2019 Mar; 19(5):. PubMed ID: 30832283
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity.
    Aladhadh S; Habib S; Islam M; Aloraini M; Aladhadh M; Al-Rawashdeh HS
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560117
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance.
    Tannous M; Stefanini C; Romano D
    Insects; 2023 Jan; 14(2):. PubMed ID: 36835717
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A novel biomedical image indexing and retrieval system via deep preference learning.
    Pang S; Orgun MA; Yu Z
    Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine learning algorithms in microbial classification: a comparative analysis.
    Wu Y; Gadsden SA
    Front Artif Intell; 2023; 6():1200994. PubMed ID: 37928448
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Crop Pest Recognition in Real Agricultural Environment Using Convolutional Neural Networks by a Parallel Attention Mechanism.
    Zhao S; Liu J; Bai Z; Hu C; Jin Y
    Front Plant Sci; 2022; 13():839572. PubMed ID: 35265096
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A novel fused convolutional neural network for biomedical image classification.
    Pang S; Du A; Orgun MA; Yu Z
    Med Biol Eng Comput; 2019 Jan; 57(1):107-121. PubMed ID: 30003400
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Towards automatic insect monitoring on witloof chicory fields using sticky plate image analysis.
    Kalfas I; De Ketelaere B; Bunkens K; Saeys W
    Ecol Inform; 2023 Jul; 75():102037. PubMed ID: 37397435
    [TBL] [Abstract][Full Text] [Related]  

  • 33. GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.
    Ibrahim MA; Ghani Khan MU; Mehmood F; Asim MN; Mahmood W
    J Biomed Inform; 2021 Apr; 116():103699. PubMed ID: 33601013
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer.
    Lee CP; Lim KM; Song YX; Alqahtani A
    Plants (Basel); 2023 Jul; 12(14):. PubMed ID: 37514256
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Small training dataset convolutional neural networks for application-specific super-resolution microscopy.
    Mannam V; Howard S
    J Biomed Opt; 2023 Mar; 28(3):036501. PubMed ID: 36925620
    [TBL] [Abstract][Full Text] [Related]  

  • 36. New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review.
    Popescu D; Dinca A; Ichim L; Angelescu N
    Front Plant Sci; 2023; 14():1268167. PubMed ID: 38023916
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Review of Successes and Impeding Challenges of IoT-Based Insect Pest Detection Systems for Estimating Agroecosystem Health and Productivity of Cotton.
    Kiobia DO; Mwitta CJ; Fue KG; Schmidt JM; Riley DG; Rains GC
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112469
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT.
    Ramalingam B; Mohan RE; Pookkuttath S; Gómez BF; Sairam Borusu CSC; Wee Teng T; Tamilselvam YK
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32942750
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A deep learning generative model approach for image synthesis of plant leaves.
    Benfenati A; Bolzi D; Causin P; Oberti R
    PLoS One; 2022; 17(11):e0276972. PubMed ID: 36399435
    [TBL] [Abstract][Full Text] [Related]  

  • 40. An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology.
    Alzoubi S; Jawarneh M; Bsoul Q; Keshta I; Soni M; Khan MA
    Open Life Sci; 2023; 18(1):20220764. PubMed ID: 38027230
    [TBL] [Abstract][Full Text] [Related]  

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