150 related articles for article (PubMed ID: 38627870)
1. An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images.
Sukumarran D; Hasikin K; Khairuddin ASM; Ngui R; Sulaiman WYW; Vythilingam I; Divis PCS
Parasit Vectors; 2024 Apr; 17(1):188. PubMed ID: 38627870
[TBL] [Abstract][Full Text] [Related]
2. Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models.
Abdurahman F; Fante KA; Aliy M
BMC Bioinformatics; 2021 Mar; 22(1):112. PubMed ID: 33685401
[TBL] [Abstract][Full Text] [Related]
3. An automated malaria cells detection from thin blood smear images using deep learning.
Sukumarran D; Hasikin K; Mohd Khairuddin AS; Ngui R; Wan Sulaiman WY; Vythilingam I; Divis PCS
Trop Biomed; 2023 Jun; 40(2):208-219. PubMed ID: 37650409
[TBL] [Abstract][Full Text] [Related]
4. Tile-based microscopic image processing for malaria screening using a deep learning approach.
Shewajo FA; Fante KA
BMC Med Imaging; 2023 Mar; 23(1):39. PubMed ID: 36949382
[TBL] [Abstract][Full Text] [Related]
5. Combination of UAV and Raspberry Pi 4B: Airspace detection of red imported fire ant nests using an improved YOLOv4 model.
Liu X; Xing Z; Liu H; Peng H; Xu H; Yuan J; Gou Z
Math Biosci Eng; 2022 Sep; 19(12):13582-13606. PubMed ID: 36654059
[TBL] [Abstract][Full Text] [Related]
6. Improved YOLOv4-tiny based on attention mechanism for skin detection.
Li P; Han T; Ren Y; Xu P; Yu H
PeerJ Comput Sci; 2023; 9():e1288. PubMed ID: 37346516
[TBL] [Abstract][Full Text] [Related]
7. An efficient tomato-detection method based on improved YOLOv4-tiny model in complex environment.
Mbouembe PLT; Liu G; Sikati J; Kim SC; Kim JH
Front Plant Sci; 2023; 14():1150958. PubMed ID: 37077640
[TBL] [Abstract][Full Text] [Related]
8. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
9. Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin.
Agbehadji IE; Abayomi A; Bui KN; Millham RC; Freeman E
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015936
[TBL] [Abstract][Full Text] [Related]
10. Precision Detection of Dense Plums in Orchards Using the Improved YOLOv4 Model.
Wang L; Zhao Y; Liu S; Li Y; Chen S; Lan Y
Front Plant Sci; 2022; 13():839269. PubMed ID: 35360334
[TBL] [Abstract][Full Text] [Related]
11. A novel algorithm for small object detection based on YOLOv4.
Wei J; Liu G; Liu S; Xiao Z
PeerJ Comput Sci; 2023; 9():e1314. PubMed ID: 37346537
[TBL] [Abstract][Full Text] [Related]
12. Detection of Pine Wilt Nematode from Drone Images Using UAV.
Sun Z; Ibrayim M; Hamdulla A
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808205
[TBL] [Abstract][Full Text] [Related]
13. Real-Time Small Drones Detection Based on Pruned YOLOv4.
Liu H; Fan K; Ouyang Q; Li N
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34066267
[TBL] [Abstract][Full Text] [Related]
14. Lightweight prohibited item detection method based on YOLOV4 for x-ray security inspection.
Liu D; Liu J; Yuan P; Yu F
Appl Opt; 2022 Oct; 61(28):8454-8461. PubMed ID: 36256160
[TBL] [Abstract][Full Text] [Related]
15. Detection of Pine Cones in Natural Environment Using Improved YOLOv4 Deep Learning Algorithm.
Luo Z; Zhang Y; Wang K; Sun L
Comput Intell Neurosci; 2021; 2021():5601414. PubMed ID: 34956349
[TBL] [Abstract][Full Text] [Related]
16. Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone.
Kuo HC; Chen SH; Chen YH; Lin YC; Chang CY; Wu YC; Wang TD; Chang LS; Tai IH; Hsieh KS
Front Cardiovasc Med; 2022; 9():1000374. PubMed ID: 36741838
[TBL] [Abstract][Full Text] [Related]
17. EBE-YOLOv4: A lightweight detecting model for pine cones in forest.
Zhang Z; Jiang D; Yu H; Zhang Y
Front Plant Sci; 2022; 13():1042332. PubMed ID: 36438091
[TBL] [Abstract][Full Text] [Related]
18. SMD-YOLO: An efficient and lightweight detection method for mask wearing status during the COVID-19 pandemic.
Han Z; Huang H; Fan Q; Li Y; Li Y; Chen X
Comput Methods Programs Biomed; 2022 Jun; 221():106888. PubMed ID: 35598435
[TBL] [Abstract][Full Text] [Related]
19. A Lightweight and Accurate UAV Detection Method Based on YOLOv4.
Cai H; Xie Y; Xu J; Xiong Z
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146223
[TBL] [Abstract][Full Text] [Related]
20. Research on automatic classification and detection of chicken parts based on deep learning algorithm.
Chen Y; Peng X; Cai L; Jiao M; Fu D; Xu CC; Zhang P
J Food Sci; 2023 Oct; 88(10):4180-4193. PubMed ID: 37655508
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]