Focal-HAIN: a lightweight model with adaptive modulation and hierarchical interaction for real-time crop pest and disease monitoring. [PDF]
Front Plant SciLiu W, Xu L, Chang X, Long X.
europepmc +1 more source
Fungal recognition in vaginal discharge using deep learning analysis of mobile device-acquired microscopic images. [PDF]
Front Cell Infect MicrobiolPongpom M +7 more
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Heat exchanger pipe orifice recognition using an improved YOLOv5 model integrated with dual attention mechanisms. [PDF]
Sci RepYang R +5 more
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Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images. [PDF]
Sci RepToyama N, Hidaka T, Tamura H, Ikeda Y.
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Deep learning framework for timely detection and classification of chili leaf diseases and pests. [PDF]
Sci RepKanaparthi KR, Ilango SS.
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MFE-YOLO: A Multi-Scale Feature Enhanced Network for PCB Defect Detection with Cross-Group Attention and FIoU Loss. [PDF]
Entropy (Basel)Di R +6 more
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Integrated framework utilizing scene text detection and recognition techniques for enhancing point of interest extraction from name boards in all Indic languages. [PDF]
Sci RepKashyap AK +3 more
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Deep learning-based classification of superficial femoral arterial lesions: a pilot study. [PDF]
Ann Surg Treat ResLee YS, Kim C, Woo Y, Kim JY.
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Image-based detection of bolts and bolt-missing defects in multi-angle and complex background scenarios. [PDF]
Sci RepGu Y, Peng D, Song J, Ren S, Kong C.
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What is YOLOv5: A deep look into the internal features of the popular object detector
This study presents a comprehensive analysis of the YOLOv5 object detection model, examining its architecture, training methodologies, and performance. Key components, including the Cross Stage Partial backbone and Path Aggregation-Network, are explored ...
Hussain, Muhammad, Khanam, Rahima
core