The os coxa is commonly used for sex and age estimation with a high degree of accuracy. Our study aimed to compare the accuracy among three methods, which include a deep learning approach to increase the accuracy of sex prediction. A total sample of ...
OBJECTIVE: This study aimed to develop and investigate the performance of a deep learning model based on a convolutional neural network (CNN) for the automatic segmentation of polycystic livers at CT imaging.
Sharing data is a scientific imperative that accelerates scientific discoveries, reinforces open science inquiry, and allows for efficient use of public investment and research resources. Considering these benefits, data sharing has been widely promo...
BACKGROUND: The notion of articulation in surgery has been largely synonymous with robotics. The ARTISENTIAL instruments aim at bringing advanced articulation to laparoscopy to overcome challenges in narrow anatomical spaces. In this paper, we presen...
INTRODUCTION: Robot-assisted radical prostatectomy (RARP) long-term oncologic outcomes were published in few studies. This paper provides a complete overview of RARP long-term oncologic and functional results produced in an Italian spoke hospital.
Biomedizinische Technik. Biomedical engineering
Feb 10, 2022
As a common mental disorder, depression is placing an increasing burden on families and society. However, the current methods of depression detection have some limitations, and it is essential to find an objective and efficient method. With the devel...
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