Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules

Table 1 Baseline characteristics of the population (*: Mean ± Standard Deviation)

Items	results
Numbers	313 patients
Numbers	Injured ACL-220 patients(70.29%); Intact ACL-93 patients(29.71%)
Age(y)*	38.54 ± 12.14
Female/Male	131(41.85%) /182(58.15%)
BMI(kg/m2)*	24.55 ± 3.79
Selected Side	162-Left(51.76%)/151-Right(48.24%)

ISSN: 1471-2342