AIMC Topic: Female

Clear Filters Showing 26881 to 26890 of 29210 articles

Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critical task that requires experienced radiologists and has many challenges, such as poor image quality, artifacts, and high lesion variability. Thus, autom...

sEMG-based Motion Recognition for Robotic Surgery Training - A Preliminary Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Robotic surgery represents a major breakthrough in the evolution of medical technology. Accordingly, efficient skill training and assessment methods should be developed to meet the surgeon's need of acquiring such robotic skills over a relatively sho...

Comparative analysis of deep learning methods for lesion detection on full screening mammography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Breast cancer is the most prevalent type of cancer in women. Although mammography is used as the main imaging modality for the diagnosis, robust lesion detection in mammography images is a challenging task, due to the poor contrast of the lesion boun...

Mechanism of liver X receptor α and ATP binding cassette transporter A1 involved in preeclampsia using an optimized deep learning model.

European review for medical and pharmacological sciences
OBJECTIVE: Preeclampsia (PE) is a complex disease-causing multisystem damage. Many genes, environmental factors, and their interactions are involved in the development and progression of PE. The pathogenesis of PE is not fully understood, limiting th...

Clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse.

European review for medical and pharmacological sciences
OBJECTIVE: The aim of this study was to analyze the clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse (POP).

Outcomes of single-port robotic ureteral reconstruction using the da Vinci SP system.

Investigative and clinical urology
PURPOSE: The da Vinci SP robotic system enables three double-jointed wristed instruments and a fully wristed three-dimensional camera to be placed through a single port. This study presents our experience with robot-assisted ureteral reconstruction u...

Robotic versus nonrobotic sacroiliac joint fusion.

Neurosurgical focus
OBJECTIVE: Robot-assisted pedicle screw placement in spinal fusion has been well studied. However, few studies have evaluated robot-assisted sacroiliac joint (SIJ) fusion. The aim of this study was to compare surgical characteristics, accuracy, and c...

Introduction to Point-of-Care Ultrasonography.

AACN advanced critical care
Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visualize brain structures. Use of ultrasonography broadened to the field of obstetrics in the 1950s and has since expanded to many other medical special-t...

[Research on multi-class orthodontic image recognition system based on deep learning network model].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. A total of 35 000 clinical orthodontic images were collected in the Department o...

[Automated diagnostic classification with lateral cephalograms based on deep learning network model].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for orthodontic diagnosis. A total of 2 894 lateral cephalograms were collected in Department of Orthodo...