Abstract: Embodiments of the present disclosure relate to systems and methods for determining the size of a medical device to implant in a patient using deep learning techniques. In at least one embodiment, a method comprises receiving a plurality of images, each of the plurality of images including a representation of a portion of a patient's anatomy in which the medical device is to be implanted. The method further comprises extracting a centerline of the representation of the patient's anatomy from the plurality of images and extracting planes orthogonal to the centerline. In addition, the method comprises identifying, using a segmentation model that segments the extracted planes, an implantation site. And, the method comprises determining, using a medical device size classification model that classifies the implantation site, a size of the medical device to be implanted at the implantation site.