Urology

A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer learning-based deep learning approach, for classification of prostate lesions in multiparametric magnetic resonance imaging images.

Automatic prostate segmentation based on fusion between deep network and variational methods.

BACKGROUND: Segmentation of prostate from magnetic resonance images (MRI) is a critical process for guiding prostate puncture and biopsy. Currently, the best results are obtained by Convolutional Neural Network (CNN). However, challenges still exist when applying CNN to segment prostate, such as data distribution issue caused by insubstantial and inconsistent intensity levels and vague boundaries ...

Identification of Anti-cancer Peptides Based on Multi-classifier System.

AIMS AND OBJECTIVE: Cancer is one of the deadliest diseases, taking the lives of millions every year. Traditional methods of treating cancer are expen...

Categorization & Recognition of Lung Tumor Using Machine Learning Representations.

BACKGROUND: Lung Cancer is the disease spreading around the world nowadays. Early recognition of lung disease is a difficult task as the cells which c...

DOES THE 25-OH-VITAMIN D LEVEL AFFECT THE INSULIN RESISTANCE IN THE PATIENTS WITH NON-DIABETIC CHRONIC KIDNEY DISEASE?

INTRODUCTION: The aim of this study was to investigate the effects of vitamin D deficiency on insulin resistance in patients with non-diabetic chronic...

Anti-cancer Potential of Captopril and Botulinum Toxin Type-A and Associated p53 Gene Apototic Stimulating Activity.

Mutational inactivation of p53 is a key player in the development of human cancer. Thus, retrieving the tumor suppressor activity of p53 gene is consi...

The Photothermal Effect of Targeted Methotrexate-Functionalized Multi-Walled Carbon Nanotubes on MCF7 Cells.

Our goal is to reduce the release rate of methotrexate (MTX) and increase cell death efficiency.Carboxylated multi-walled carbon nanotubes (MWCNT-COOH...

[Current applications of artificial intelligence in tumor histopathology].

The tasks of artificial intelligence (AI) in tumor histopathology include image segmentation and classification. Currently, the specific contents incl...

A Decision-Support Tool for Renal Mass Classification.

We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiom...

Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

PURPOSE: Nuclear pleomorphic patterns are essential for Fuhrman grading of clear cell renal cell carcinoma (ccRCC). Manual observation of renal histop...

Diagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural Networks.

PURPOSE: The recognition of cystoscopic findings remains challenging for young colleagues and depends on the examiner's skills. Computer-aided diagnos...

Deep Learning for Natural Language Processing in Urology: State-of-the-Art Automated Extraction of Detailed Pathologic Prostate Cancer Data From Narratively Written Electronic Health Records.

PURPOSE: Entering all information from narrative documentation for clinical research into databases is time consuming, costly, and nearly impossible. ...

Modulation of aldosterone levels by aldosterone synthase promoter polymorphism and association with eGFR decline in patients with chronic kidney disease.

To determine whether -344T/C CYP11B2 promoter polymorphism affects serum aldosterone levels and whether this polymorphism is an indicator of eGFR decl...

Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Poole...

Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.

AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of the left ventricle (LV) of the heart in patients w...

Incidence and location of positive surgical margin among open, laparoscopic and robot-assisted radical prostatectomy in prostate cancer patients: a single institutional analysis.

OBJECTIVE: To evaluate the positive surgical margin rates and locations in radical prostatectomy among three surgical approaches, including open radic...

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.

Diagnosis of prostate cancer in a Chinese population by using machine learning methods.

An early diagnosis of prostate cancer (PC) is key for the successful treatment. Although invasive prostate biopsies can provide a definitive diagnosis...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...

Renal Function Estimates and Dosing of Direct Oral Anticoagulants in Stroke Patients with Atrial Fibrillation: An Observational Study.

PURPOSE: Appropriate dosing of direct oral anticoagulants (DOACs) requires consideration of renal function. Discordance between commonly used estimate...