BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

232 related articles for article (PubMed ID: 36329073)

  • 1. A robust deep learning approach for tomato plant leaf disease localization and classification.
    Nawaz M; Nazir T; Javed A; Masood M; Rashid J; Kim J; Hussain A
    Sci Rep; 2022 Nov; 12(1):18568. PubMed ID: 36329073
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification.
    Albahli S; Nawaz M
    Front Plant Sci; 2022; 13():957961. PubMed ID: 36160977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.
    Islam MS; Sultana S; Farid FA; Islam MN; Rashid M; Bari BS; Hashim N; Husen MN
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015839
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning.
    Badiger M; Mathew JA
    J Biotechnol; 2023 Sep; 374():101-113. PubMed ID: 37543108
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network.
    Trivedi NK; Gautam V; Anand A; Aljahdali HM; Villar SG; Anand D; Goyal N; Kadry S
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883991
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI).
    Debnath A; Hasan MM; Raihan M; Samrat N; Alsulami MM; Masud M; Bairagi AK
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960385
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease.
    Shoaib M; Hussain T; Shah B; Ullah I; Shah SM; Ali F; Park SH
    Front Plant Sci; 2022; 13():1031748. PubMed ID: 36275583
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network.
    Albattah W; Javed A; Nawaz M; Masood M; Albahli S
    Front Plant Sci; 2022; 13():808380. PubMed ID: 35755664
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model.
    Jing J; Li S; Qiao C; Li K; Zhu X; Zhang L
    J Sci Food Agric; 2023 Nov; 103(14):7070-7082. PubMed ID: 37326973
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study.
    Hossain S; Tanzim Reza M; Chakrabarty A; Jung YJ
    Sensors (Basel); 2023 Apr; 23(7):. PubMed ID: 37050811
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition.
    Fuentes A; Yoon S; Kim SC; Park DS
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28869539
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques.
    Mu Y; Chen TS; Ninomiya S; Guo W
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32466108
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model.
    Liu J; Wang X
    Plant Methods; 2020; 16():83. PubMed ID: 32523613
    [TBL] [Abstract][Full Text] [Related]  

  • 14. EfficientRMT-Net-An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases.
    Shaheed K; Qureshi I; Abbas F; Jabbar S; Abbas Q; Ahmad H; Sajid MZ
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067888
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A weight optimization-based transfer learning approach for plant disease detection of New Zealand vegetables.
    Saleem MH; Potgieter J; Arif KM
    Front Plant Sci; 2022; 13():1008079. PubMed ID: 36388538
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization.
    V P; Kumar AMS; Praveen JIR; Venkatraman S; Kumar SP; Aravintakshan SA; Abeshek A; Kannan A
    Front Plant Sci; 2024; 15():1382416. PubMed ID: 38828218
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A ResNet50-DPA model for tomato leaf disease identification.
    Liang J; Jiang W
    Front Plant Sci; 2023; 14():1258658. PubMed ID: 37908831
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of Tomato Leaf Miner Using Deep Neural Network.
    Jeong S; Jeong S; Bong J
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560327
    [TBL] [Abstract][Full Text] [Related]  

  • 19. RTF-RCNN: An Architecture for Real-Time Tomato Plant Leaf Diseases Detection in Video Streaming Using Faster-RCNN.
    Alruwaili M; Siddiqi MH; Khan A; Azad M; Khan A; Alanazi S
    Bioengineering (Basel); 2022 Oct; 9(10):. PubMed ID: 36290533
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using genetically modified tomato crop plants with purple leaves for absolute weed/crop classification.
    Lati RN; Filin S; Aly R; Lande T; Levin I; Eizenberg H
    Pest Manag Sci; 2014 Jul; 70(7):1059-65. PubMed ID: 24023038
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.