Retraction Note: Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture. [PDF]
Sci RepSaranya M, Praveena R.
europepmc +1 more source
Urological diagnostics based on kidney stone detection in CT imaging using YOLOv8 deep learning framework. [PDF]
Front Med (Lausanne)Ye Y, Chipusu K, He L, Shen S, Huang J.
europepmc +1 more source
Automated prediction of hand-wrist maturation stage from lateral cephalometric and panoramic radiographs using a deep learning approach. [PDF]
Eur J OrthodEdik M, Çelebi F, Etöz M.
europepmc +1 more source
Research on attention mechanism and loss function based on YOLOv5 to improve the detection method of underground personnel wearing safety helmets. [PDF]
Sci RepQin G, Pan J, Zhao D, Zhang C.
europepmc +1 more source
Multi-scale attentional feature fusion-based traffic sign detection using image dehazing process of SPP-CAE and improved optimization of YOLOv9 model. [PDF]
Front Artif IntellV T, Cm V.
europepmc +1 more source
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
CocoaDeep: A preliminary study of the performance sensitivity to datasets of Faster RCNN, YOLO and transformer networks for cocoa pod detection. [PDF]
PLoS OneBorianne P +3 more
europepmc +1 more source
YOLOv5-ASFF: A Multistage Strawberry Detection Algorithm Based on Improved YOLOv5
Agronomy, 2023 The smart farm is currently a hot topic in the agricultural industry. Due to the complex field environment, the intelligent monitoring model applicable to this environment requires high hardware performance, and there are difficulties in realizing real-time detection of ripe strawberries on a small automatic picking robot, etc. This research proposes a
Yaodi Li, Decong Zheng
exaly +3 more sources