166 related articles for article (PubMed ID: 35112260)
1. Unmanned aerial vehicle images in the machine learning for agave detection.
Escobar-Flores JG; Sandoval S; Gámiz-Romero E
Environ Sci Pollut Res Int; 2022 Sep; 29(41):61662-61673. PubMed ID: 35112260
[TBL] [Abstract][Full Text] [Related]
2. Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques.
Maity R; Raja Sankari VM; U S; N A R; Salvador AL
Biomed Phys Eng Express; 2024 Jun; 10(4):. PubMed ID: 38901416
[TBL] [Abstract][Full Text] [Related]
3. Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.
Liu S; Jin X; Nie C; Wang S; Yu X; Cheng M; Shao M; Wang Z; Tuohuti N; Bai Y; Liu Y
Plant Physiol; 2021 Nov; 187(3):1551-1576. PubMed ID: 34618054
[TBL] [Abstract][Full Text] [Related]
4. [Intelligent identification of livestock, a source of
Xue J; Xia S; Li Z; Wang X; Huang L; He R; Li S
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2023 May; 35(2):121-127. PubMed ID: 37253560
[TBL] [Abstract][Full Text] [Related]
5. Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.
Tahara S; Sudo K; Yamakita T; Nakaoka M
PeerJ; 2022; 10():e14017. PubMed ID: 36275465
[TBL] [Abstract][Full Text] [Related]
6. Automated mapping of
Galuszynski NC; Duker R; Potts AJ; Kattenborn T
PeerJ; 2022; 10():e14219. PubMed ID: 36262418
[TBL] [Abstract][Full Text] [Related]
7. Segmentation Scale Effect Analysis in the Object-Oriented Method of High-Spatial-Resolution Image Classification.
Hao S; Cui Y; Wang J
Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883938
[TBL] [Abstract][Full Text] [Related]
8. An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles.
Calvario G; Alarcón TE; Dalmau O; Sierra B; Hernandez C
Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33147788
[TBL] [Abstract][Full Text] [Related]
9. DAR-Net: Dense Attentional Residual Network for Vehicle Detection in Aerial Images.
Li K; Wang B
Comput Intell Neurosci; 2021; 2021():6340823. PubMed ID: 34868295
[TBL] [Abstract][Full Text] [Related]
10. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
11. Using computer vision, image analysis and UAVs for the automatic recognition and counting of common cranes (Grus grus).
Chen A; Jacob M; Shoshani G; Charter M
J Environ Manage; 2023 Feb; 328():116948. PubMed ID: 36516707
[TBL] [Abstract][Full Text] [Related]
12. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.
Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S
JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163
[TBL] [Abstract][Full Text] [Related]
13. Real-Time Object Detection and Classification by UAV Equipped With SAR.
Gromada K; Siemiątkowska B; Stecz W; Płochocki K; Woźniak K
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271213
[TBL] [Abstract][Full Text] [Related]
14. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
[TBL] [Abstract][Full Text] [Related]
15. Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery.
Hong SJ; Han Y; Kim SY; Lee AY; Kim G
Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30959913
[TBL] [Abstract][Full Text] [Related]
16. Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery.
Sandino J; Wooler A; Gonzalez F
Sensors (Basel); 2017 Sep; 17(10):. PubMed ID: 28946639
[TBL] [Abstract][Full Text] [Related]
17. Sorghum Panicle Detection and Counting Using Unmanned Aerial System Images and Deep Learning.
Lin Z; Guo W
Front Plant Sci; 2020; 11():534853. PubMed ID: 32983210
[TBL] [Abstract][Full Text] [Related]
18. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
19. Vehicle Image Detection Method Using Deep Learning in UAV Video.
Wang X
Comput Intell Neurosci; 2022; 2022():8202535. PubMed ID: 35178081
[TBL] [Abstract][Full Text] [Related]
20. Medical Image Classification Algorithm Based on Visual Attention Mechanism-MCNN.
An F; Li X; Ma X
Oxid Med Cell Longev; 2021; 2021():6280690. PubMed ID: 33688390
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]