190 related articles for article (PubMed ID: 37631551)
1. Semisupervised Deep Learning for the Detection of Foreign Materials on Poultry Meat with Near-Infrared Hyperspectral Imaging.
Campos RL; Yoon SC; Chung S; Bhandarkar SM
Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631551
[TBL] [Abstract][Full Text] [Related]
2. Non-Destructive Detection of Bone Fragments Embedded in Meat Using Hyperspectral Reflectance Imaging Technique.
Lim J; Lee A; Kang J; Seo Y; Kim B; Kim G; Kim SM
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32708061
[TBL] [Abstract][Full Text] [Related]
3. Non-Destructive Detection Pilot Study of Vegetable Organic Residues Using VNIR Hyperspectral Imaging and Deep Learning Techniques.
Seo Y; Kim G; Lim J; Lee A; Kim B; Jang J; Mo C; Kim MS
Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33919118
[TBL] [Abstract][Full Text] [Related]
4. Prediction of quality traits and grades of intact chicken breast fillets by hyperspectral imaging.
Yang Y; Wang W; Zhuang H; Yoon SC; Jiang H
Br Poult Sci; 2021 Feb; 62(1):46-52. PubMed ID: 32875810
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Development and comparison of classification models on VIS-NIR hyperspectral imaging spectra for qualitative detection of the Staphylococcus aureus in fresh chicken breast.
Qiu R; Zhao Y; Kong D; Wu N; He Y
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Jan; 285():121838. PubMed ID: 36108407
[TBL] [Abstract][Full Text] [Related]
7. Non-destructive discrimination of homochromatic foreign materials in cut tobacco based on VIS-NIR hyperspectral imaging.
Liang J; Wang Y; Shi Y; Huang X; Li Z; Zhang X; Zou X; Shi J
J Sci Food Agric; 2023 Jul; 103(9):4545-4552. PubMed ID: 36840508
[TBL] [Abstract][Full Text] [Related]
8. Rapid Identification of Infectious Pathogens at the Single-Cell Level via Combining Hyperspectral Microscopic Images and Deep Learning.
Tao C; Du J; Wang J; Hu B; Zhang Z
Cells; 2023 Jan; 12(3):. PubMed ID: 36766719
[TBL] [Abstract][Full Text] [Related]
9. Identification of Turtle-Shell Growth Year Using Hyperspectral Imaging Combined with an Enhanced Spatial-Spectral Attention 3DCNN and a Transformer.
Wang T; Xu Z; Hu H; Xu H; Zhao Y; Mao X
Molecules; 2023 Sep; 28(17):. PubMed ID: 37687257
[TBL] [Abstract][Full Text] [Related]
10. Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification.
Zhong Z; Li J; Clausi DA; Wong A
IEEE Trans Cybern; 2020 Jul; 50(7):3318-3329. PubMed ID: 31170085
[TBL] [Abstract][Full Text] [Related]
11. Integration of spectral and textural features of visible and near-infrared hyperspectral imaging for differentiating between normal and white striping broiler breast meat.
Jiang H; Yoon SC; Zhuang H; Wang W; Li Y; Yang Y
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Apr; 213():118-126. PubMed ID: 30684880
[TBL] [Abstract][Full Text] [Related]
12. Plant disease identification using explainable 3D deep learning on hyperspectral images.
Nagasubramanian K; Jones S; Singh AK; Sarkar S; Singh A; Ganapathysubramanian B
Plant Methods; 2019; 15():98. PubMed ID: 31452674
[TBL] [Abstract][Full Text] [Related]
13. Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets.
Feng YZ; Sun DW
Talanta; 2013 May; 109():74-83. PubMed ID: 23618142
[TBL] [Abstract][Full Text] [Related]
14. Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation.
Garillos-Manliguez CA; Chiang JY
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33670232
[TBL] [Abstract][Full Text] [Related]
15. Near-infrared hyperspectral imaging technology combined with deep convolutional generative adversarial network to predict oil content of single maize kernel.
Zhang L; Wang Y; Wei Y; An D
Food Chem; 2022 Feb; 370():131047. PubMed ID: 34626928
[TBL] [Abstract][Full Text] [Related]
16. Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology.
Li H; Zhang L; Sun H; Rao Z; Ji H
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Mar; 268():120722. PubMed ID: 34902690
[TBL] [Abstract][Full Text] [Related]
17. Detection of Chili Foreign Objects Using Hyperspectral Imaging Combined with Chemometric and Target Detection Algorithms.
Shu Z; Li X; Liu Y
Foods; 2023 Jul; 12(13):. PubMed ID: 37444353
[TBL] [Abstract][Full Text] [Related]
18. A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager.
Liu B; Du Y; Liu C; Li Y
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236502
[TBL] [Abstract][Full Text] [Related]
19. Meat quality evaluation by hyperspectral imaging technique: an overview.
Elmasry G; Barbin DF; Sun DW; Allen P
Crit Rev Food Sci Nutr; 2012; 52(8):689-711. PubMed ID: 22591341
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
