4.5 (493) In stock
Ankle fractures are common and, compared to other injuries, tend to be overlooked in the emergency department. We aim to develop a deep learning algorithm that can detect not only definite fractures but also obscure fractures. We collected the data of 1226 patients with suspected ankle fractures and performed both X-rays and CT scans. With anteroposterior (AP) and lateral ankle X-rays of 1040 patients with fractures and 186 normal patients, we developed a deep learning model. The training, validation, and test datasets were split in a 3/1/1 ratio. Data augmentation and under-sampling techniques were administered as part of the preprocessing. The Inception V3 model was utilized for the image classification. Performance of the model was validated using a confusion matrix and the area under the receiver operating characteristic curve (AUC-ROC). For the AP and lateral trials, the best accuracy and AUC values were 83%/0.91 in AP and 90%/0.95 in lateral. Additionally, the mean accuracy and AUC values were 83%/0.89 for the AP trials and 83%/0.9 for the lateral trials. The reliable dataset resulted in the CNN model providing higher accuracy than in past studies.
What to Expect – The Applied Science of Employee Engagement
Applied Sciences, Free Full-Text, car accelerator pedal
Lusaka Institute of Applied Sciences. LIAS.
Computer Science Teacher Cover Letter Example (Free Guide)
TMSS: Kane & Kane, 2004 : Hough, Helen : Free Download, Borrow, and Streaming : Internet Archive
Savings StarApplied Sciences, Free Full-Text, methods of reducing
Applied Sciences, Free Full-Text, groups moodle ufsc
Products & Materials
Applied Sciences, Free Full-Text, gas hupe dose
Full text access through Strategian - Strategian Science
BTEC Nationals, Applied Science (2016)