MedicineComputer Science

Pranab Dey, C. Muralidaran

2026.2.23CYTOPATHOLOGY

DOI: 10.1111/cyt.70061

tlooto Summary

The efficiency of six transfer learning models to detect malignant cells in urine cytology is compared and an ensemble learning with weighted soft voting is applied to assess its importance in the diagnostic accuracy in urine cytology.

Abstract

In the present paper, we compared the efficiency of six transfer learning models to detect malignant cells in urine cytology. We also applied an ensemble learning with weighted soft voting to assess its importance in the diagnostic accuracy in urine cytology.

Citation format

DEY, Pranab; MURALIDARAN, C. Comparative evaluation of transfer learning models for detecting malignant cells in urinary cytology. CYTOPATHOLOGY, 2026, 37(3): 232–239.