The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images

Bibliographic Details
Main Author:	Petäinen, Liisa
Other Authors:	Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä, Tietotekniikka, Mathematical Information Technology, 602
Format:	Master's thesis
Language:	eng
Published:	2022
Subjects:	digital pathology colorectal cancer histopathology medical image analysis tumor-stroma ratio neuroverkot syöpätaudit koneoppiminen patologia konenäkö paksusuolisyöpä neural networks (information technology) cancerous diseases machine learning pathology computer vision cancer of the large intestine
Online Access:	https://jyx.jyu.fi/handle/123456789/81181

Internet

https://jyx.jyu.fi/handle/123456789/81181