Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis
M Lopez-Melia, V Magnin… - British Journal of …, 2024 - academic.oup.com
Objectives To review studies on deep learning (DL) models for classification, detection, and
segmentation of rib fractures in CT data, to determine their risk of bias (ROB), and to analyse …
segmentation of rib fractures in CT data, to determine their risk of bias (ROB), and to analyse …
FasterRib: a deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans
S Edamadaka, DW Brown, R Swaroop… - Journal of Trauma …, 2023 - journals.lww.com
OBJECTIVE Characterizing and enumerating rib fractures are critical to informing clinical
decisions, yet in-depth characterization is rarely performed because of the manual burden of …
decisions, yet in-depth characterization is rarely performed because of the manual burden of …
Feasibility of rib fracture detection in low-dose computed tomography images with a large, multicenter datasets-based model
L **, E Youjun, Z Ye, P Gao, G Wei, J qi Zhang, M Li - Heliyon, 2024 - cell.com
Purpose To evaluate the feasibility of rib fracture detection in low-dose computed
tomography (CT) images with a RetinaNet-based approach and to evaluate the potential of …
tomography (CT) images with a RetinaNet-based approach and to evaluate the potential of …
Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review
CE Collins, PA Giammanco, SM Trivedi… - Journal of Imaging …, 2025 - Springer
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can
reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no …
reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no …
[HTML][HTML] Radiomics-based nomogram for predicting total knee replacement in knee osteoarthritis patients
H Sun, Y You, Q Jiang, Y Ma, C Huang, X Liu… - European Journal of …, 2025 - Elsevier
Background The incidence of total knee replacement (TKR) surgeries has increased, partly
attributed to healthcare policies that cause premature and potentially unwarranted …
attributed to healthcare policies that cause premature and potentially unwarranted …
[PDF][PDF] Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis
MD Silke Grabherr - 2024 - serval.unil.ch
Objectives: To review studies on deep learning (DL) models for classification, detection, and
segmentation of rib fractures in CT data, to determine their risk of bias (ROB), and to analyse …
segmentation of rib fractures in CT data, to determine their risk of bias (ROB), and to analyse …
HD-NET: Humerus deep-net for humerus fracture and bony callus formation analysis
When employing x-ray images, fracture identification in orthopaedics is a difficult task. A
large percentage of humerus fracture patients are seen in hospitals, particularly in their …
large percentage of humerus fracture patients are seen in hospitals, particularly in their …
[PDF][PDF] 人工智能在早期胸部 CT 肋骨骨折的临床应用价值及局限性分析
L **u-tao, TA Li-Lian, QU Shao-qing… - … JOURNAL OF CT …, 2023 - diagnoschina.com
目的探讨人工智能(artificial intelligence, AI) 辅助下医师在早期胸部CT 肋骨骨折的检测能力,
肋骨骨折的分布特点及隐匿性骨折的比例. 方法203 例患者接受早期胸部CT 和随访CT 检查 …
肋骨骨折的分布特点及隐匿性骨折的比例. 方法203 例患者接受早期胸部CT 和随访CT 检查 …