Journal of laparoendoscopic & advanced surgical techniques. Part A
Dec 28, 2021
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several steps of robot-assisted radical prostatectomy (RARP) and lymph node (LN) involvement. A total numbe...
Computer methods and programs in biomedicine
Dec 25, 2021
PURPOSE: The purpose of the present work is to demonstrate the application of machine learning (ML) techniques to automatically identify the presence and physiologic phase of intravenous (IV) contrast in Computed Tomography (CT) scans of the Chest, A...
BACKGROUND: The 3D U-Net model has been proved to perform well in the automatic organ segmentation. The aim of this study is to evaluate the feasibility of the 3D U-Net algorithm for the automated detection and segmentation of lymph nodes (LNs) on pe...
BACKGROUND: Patients with very-high-risk prostate cancer (VHRPCa) have earlier biochemical recurrences (BCRs) and higher mortality rates. It remains unknown whether extended robot-assisted laparoscopic prostatectomy (eRALP) without neoadjuvant or adj...
International journal of legal medicine
Aug 30, 2021
Deep learning based on radiological methods has attracted considerable attention in forensic anthropology because of its superior classification capacities over human experts. However, radiological instruments are limited in their nature of high cost...
PURPOSE: MRI of organs and musculoskeletal structures in the female pelvis presents a unique display of pelvic anatomy. Automated segmentation of pelvic structures plays an important role in personalized diagnosis and treatment on pelvic structures d...
Journal of minimally invasive gynecology
Jul 27, 2021
STUDY OBJECTIVE: Some articles have reported the surgical management of Alcock canal syndrome (ACS) using the transperineal [1], transgluteal [2], or conventional laparoscopic approach [3,4]. In 2015, Rey and Oderda [5] reported the first robotic neu...
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Jul 22, 2021
Attenuation correction remains a challenge in pelvic PET/MRI. In addition to the segmentation/model-based approaches, deep learning methods have shown promise in synthesizing accurate pelvic attenuation maps (μ-maps). However, these methods often mis...