242 related articles for article (PubMed ID: 37177572)
1. A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures.
Díaz-Martínez V; Orozco-Sandoval J; Manian V; Dhatt BK; Walia H
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177572
[TBL] [Abstract][Full Text] [Related]
2. HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.
Gao T; Chandran AKN; Paul P; Walia H; Yu H
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960287
[TBL] [Abstract][Full Text] [Related]
3. Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification.
Orozco J; Manian V; Alfaro E; Walia H; Dhatt BK
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050573
[TBL] [Abstract][Full Text] [Related]
4. Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.
Książek K; Romaszewski M; Głomb P; Grabowski B; Cholewa M
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33233358
[TBL] [Abstract][Full Text] [Related]
5. Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion.
Weng S; Tang P; Yuan H; Guo B; Yu S; Huang L; Xu C
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jun; 234():118237. PubMed ID: 32200232
[TBL] [Abstract][Full Text] [Related]
6. Deep convolutional neural network based hyperspectral brain tissue classification.
Poonkuzhali P; Helen Prabha K
J Xray Sci Technol; 2023; 31(4):777-796. PubMed ID: 37182861
[TBL] [Abstract][Full Text] [Related]
7. Rapid and accurate identification of bakanae pathogens carried by rice seeds based on hyperspectral imaging and deep transfer learning.
Wu N; Weng S; Xiao Q; Jiang H; Zhao Y; He Y
Spectrochim Acta A Mol Biomol Spectrosc; 2024 Apr; 311():123889. PubMed ID: 38340442
[TBL] [Abstract][Full Text] [Related]
8. A Rapid and Highly Efficient Method for the Identification of Soybean Seed Varieties: Hyperspectral Images Combined with Transfer Learning.
Zhu S; Zhang J; Chao M; Xu X; Song P; Zhang J; Huang Z
Molecules; 2019 Dec; 25(1):. PubMed ID: 31905957
[TBL] [Abstract][Full Text] [Related]
9. Identification of Rice Seed Varieties Based on Near-Infrared Hyperspectral Imaging Technology Combined with Deep Learning.
Jin B; Zhang C; Jia L; Tang Q; Gao L; Zhao G; Qi H
ACS Omega; 2022 Feb; 7(6):4735-4749. PubMed ID: 35187294
[TBL] [Abstract][Full Text] [Related]
10. Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning.
Wang Y; Song S
Front Plant Sci; 2024; 15():1361309. PubMed ID: 38751847
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning based Classification for Head and Neck Cancer Detection with Hyperspectral Imaging in an Animal Model.
Ma L; Lu G; Wang D; Wang X; Chen ZG; Muller S; Chen A; Fei B
Proc SPIE Int Soc Opt Eng; 2017 Feb; 10137():. PubMed ID: 30220770
[TBL] [Abstract][Full Text] [Related]
12. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.
Zhu S; Zhou L; Gao P; Bao Y; He Y; Feng L
Molecules; 2019 Sep; 24(18):. PubMed ID: 31500333
[TBL] [Abstract][Full Text] [Related]
13. Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging.
He X; Feng X; Sun D; Liu F; Bao Y; He Y
Molecules; 2019 Jun; 24(12):. PubMed ID: 31207950
[TBL] [Abstract][Full Text] [Related]
14. Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network.
Zhang J; Yang Y; Feng X; Xu H; Chen J; He Y
Front Plant Sci; 2020; 11():821. PubMed ID: 32670316
[TBL] [Abstract][Full Text] [Related]
15. Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning.
Wu N; Liu F; Meng F; Li M; Zhang C; He Y
Front Bioeng Biotechnol; 2021; 9():696292. PubMed ID: 34368096
[TBL] [Abstract][Full Text] [Related]
16. Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning.
Xu P; Sun W; Xu K; Zhang Y; Tan Q; Qing Y; Yang R
Foods; 2022 Dec; 12(1):. PubMed ID: 36613360
[TBL] [Abstract][Full Text] [Related]
17. Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.
Nguyen C; Sagan V; Maimaitiyiming M; Maimaitijiang M; Bhadra S; Kwasniewski MT
Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33499335
[TBL] [Abstract][Full Text] [Related]
18. Identification of the variety of maize seeds based on hyperspectral images coupled with convolutional neural networks and subregional voting.
Zhou Q; Huang W; Tian X; Yang Y; Liang D
J Sci Food Agric; 2021 Aug; 101(11):4532-4542. PubMed ID: 33452811
[TBL] [Abstract][Full Text] [Related]
19. Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection.
Pourdarbani R; Sabzi S; Zohrabi R; García-Mateos G; Fernandez-Beltran R; Molina-Martínez JM; Rohban MH
J Food Sci; 2023 Dec; 88(12):5149-5163. PubMed ID: 37876302
[TBL] [Abstract][Full Text] [Related]
20. Learning Deep Hierarchical Spatial-Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN.
Feng F; Wang S; Wang C; Zhang J
Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795511
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
