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Rapid Visual Detection of Mycoplasma Hominis Using an RPA-CRISPR/Cas12a Assay [PDF]
BiosensorsMycoplasma hominis (MH) is a prevalent opportunistic pathogen that is strongly associated with a wide range of urogenital tract infections and severe adverse pregnancy outcomes in clinical settings.
Jie Chen +8 more
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One-Tube RPA-CRISPR/Cas12a Assays for Rapid and Visual Detection of Pseudomonas fluorescens and Bacillus cereus [PDF]
FoodsBacilus cereus and Pseudomonas fluorescens are major foodborne psychrotrophic bacteria posing global health and economic risks. B. cereus has a 23.8% food prevalence worldwide. P. fluorescens is a leading cause of spoilage in refrigerated products. Their
Changli Yang +9 more
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V3Det: Vast Vocabulary Visual Detection Dataset [PDF]
IEEE International Conference on Computer Vision, 2023 Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary.
Jiaqi Wang +8 more
semanticscholar +1 more source
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 Detecting anomalies in images is an important task, especially in real-time computer vision applications. In this work, we focus on computational efficiency and propose a lightweight feature extractor that processes an image in less than a millisecond on
Kilian Batzner +2 more
semanticscholar +1 more source
IET Biometrics, 2022 Breast cancer accounts for the largest number of patients among all cancers in the world. Intervention treatment for early breast cancer can dramatically extend a woman's 5‐year survival rate.
Lilei Sun +6 more
doaj +1 more source
Pathogens, 2021 Three worldwide historical plague pandemics resulted in millions of deaths. Yersinia pestis, the etiologic agent of plague, is also a potential bioterrorist weapon. Simple, rapid, and specific detection of Y.
Gang Chen +10 more
doaj +1 more source
Two‐view attention‐guided convolutional neural network for mammographic image classification
CAAI Transactions on Intelligence Technology, 2023 Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature extraction. However, general deep learning models cannot achieve very satisfactory classification results on mammographic ...
Lilei Sun +6 more
doaj +1 more source
Augmentation Method for High Intra-Class Variation Data in Apple Detection
Sensors, 2022 Deep learning is widely used in modern orchard production for various inspection missions, which helps improve the efficiency of orchard operations. In the mission of visual detection during fruit picking, most current lightweight detection models are ...
Huibin Li, Wei Guo, Guowen Lu, Yun Shi
doaj +1 more source
A Visual Detection Method of Longitudinal Crack Based on Computer Image Processing During Slab Continuous Casting [PDF]
Archives of Metallurgy and Materials, 2018 Based on the mould temperature measured by thermocouples during slab continuous casting, a difference of temperature thermograph is developed to detect slab cracks.
X. Wang +6 more
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Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach
Sensors, 2022 Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability ...
Jinjun Rao +7 more
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