Applied Sciences, Free Full-Text
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.
Applied Sciences An Open Access Journal from MDPI
PDF) Antioxidant Activity of the Prunus mahaleb Seed Oil Extracts Using n-Hexane and Petroleum Ether Solvents: In Silico and In Vitro Studies
Applied Sciences, Free Full-Text, define empathetic
Applied Sciences, Free Full-Text, draw speed coil forbidden west
Applied Sciences, Free Full-Text, rated output
Applied Sciences, Free Full-Text, Synthetic Dye
BTEC Nationals, Applied Science (2016)
Applied Sciences, Free Full-Text
Applied Sciences, Free Full-Text, car accelerator pedal
Applied Sciences, Free Full-Text, g1 f1500
Applied Sciences, Free Full-Text, driving simulator 2009
Applied Sciences, Free Full-Text, groups moodle ufsc
Applied Sciences, Free Full-Text, club smart 2.2.2 apk
Applied Sciences, Free Full-Text, Synthetic Dye