Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma.

Abstract

The proposed image analysis system provides the means to reduce subjectivity in grading bladder tumors and may contribute to more accurate diagnosis and prognosis since it relies on nuclear features, the value of which has been confirmed.