AIMC Topic: Urinary Bladder Neoplasms

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Urinary bladder cancer staging in CT urography using machine learning.

Medical physics
PURPOSE: To evaluate the feasibility of using an objective computer-aided system to assess bladder cancer stage in CT Urography (CTU).

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.

Scientific reports
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. However, for some malignancies such as urinary bladder cancer, the ability to accurately assess local extent of the disease and understand response to sy...

ACID: Association Correction for Imbalanced Data in GWAS.

IEEE/ACM transactions on computational biology and bioinformatics
Genome-wide association study (GWAS) has been widely witnessed as a powerful tool for revealing suspicious loci from various diseases. However, real world GWAS tasks always suffer from the data imbalance problem of sufficient control samples and limi...

Robot-Assisted Radical Cystectomy with Total Intracorporeal Urinary Diversion: Comparative Analysis with Extracorporeal Urinary Diversion.

Journal of laparoendoscopic & advanced surgical techniques. Part A
PURPOSE: To compare the perioperative outcomes, postoperative complications, and early oncologic outcomes of intracorporeal urinary diversion (ICUD) with those of extracorporeal urinary diversion (ECUD) following robot-assisted radical cystectomy (RA...

Serum Dickkopf-1 levels as a clinical and prognostic factor in patients with bladder cancer.

Genetics and molecular research : GMR
Dickkopf-1 (DKK-1) is a secreted protein that inhibits Wnt signaling. However, the clinical significance and prognostic value of serum DKK-1 levels have not been previously investigated in bladder cancer in Chinese patients. Blood samples were taken ...