Female knees had smaller AP and ML dimensions than male knees.
A characterization of the aspect ratio (the ML to AP dimensions) was made for the distal part of the femur and the aspect ratio (the AP to ML dimensions) was made for the proximal part of the tibia.
A three-dimensional model of the distal femur was generated and used to determine the anterioposterior (AP) and mediolateral (ML) dimensions on 19 different virtual knee sections.
The AP and ML dimensions and aspect ratio differ significantly when the reference axis was ATT compared with PTM or TEA and variations were greater while using ATT axis.
AAMs and CMs had larger (p < 0.01) ML dimensions than AAFs and CFs, respectively.
In this article, we describe the use of nonlinear hybrid-two-phase (H2P) unsupervised machine learning (ML) methodologies specifically dimension reduction (DR) in conjunction with clustering for the concurrent visualization and classification of biological samples.
Newly hatched nymphs of F1 progeny from each cross were transferred into a plastic 800-ml container (dimensions: 8.5 cm wide by 16 cm tall) containing 8 10 seedlings and reared up to the fifth-instar nymph stage.
In the injection coordinates given below (ML, AP, DV), dimensions are in µm; positive numbers represent more lateral, more anterior, and more ventral displacements, respectively.
It is clear that strong correlations can be found between the measured ML and AP dimensions with height and BMI, thus suggesting that a larger implant size is necessary to adequately fit a larger individual.
