Deep Learning-Based Software for Automated Cell Detection and Counting in Whole-Slide Histological Image Analysis

Edelmers, E. (Speaker)
Fišere, I. (Co-author)

Medical Education Technology Centre
Department of Morphology

Activity: Talk or presentation types › Poster presentation

Description

This study presents the development of a deep learning-based software designed to automate and accelerate routine cell detection, counting, and surface area calculation in whole-slide histological images. The tool aims to improve efficiency and reduce the manual workload involved in analysing such images, which is crucial for both clinical diagnostics and research applications.

Period	15 Nov 2024
Event title	11th Baltic Morphology Meeting
Event type	Conference
Location	Rīga, LatviaShow on map
Degree of Recognition	International

Keywords

ICC
histology
machine learning
artificial intelligence

Field of Science

1.2 Computer and information sciences
1.6 Biological sciences
3.1 Basic medicine