• Automatic registration of brea...

Treffer: Automatic registration of breast cancer tissue

Title:
Automatic registration of breast cancer tissue
Authors:
Sánchez Bergés, Marc
Contributors:
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Vilaplana Besler, Verónica
Publisher Information:
Universitat Politècnica de Catalunya
Publication Year:
2024
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo, Cancer--Imaging, Python (Computer program language), Registration, Transfer, Annotations, cancer, tissue, Càncer--Imatgeria, Python (Llenguatge de programació)
Document Type:
Dissertation master thesis
File Description:
application/zip; application/pdf
Language:
English
Relation:
http://hdl.handle.net/2117/416764
Availability:
http://hdl.handle.net/2117/416764
Rights:
S'autoritza la difusió de l'obra mitjançant la llicència Creative Commons o similar 'Reconeixement-NoComercial- SenseObraDerivada' ; Open Access
Accession Number:
edsbas.85A0C280
Database:
BASE

Weitere Informationen

This Masters thesis explores the development of a Python application designed to perform registration and overlap of breast cancer histopathological images with different stains, such as HE, HER2, PR, KI67, and ER. The application features three main functionalities: register, transfer, and crop. The register function performs rigid and non-rigid registration, storing results in a user-specified path. The transfer function registers images and transfers medical annotations between them. The crop function optimizes computational efficiency and ensures accurate registration by working on cropped sections of images. This project leverages the VALIS (Virtual Alignment of Pathology Image Series) framework and integrates multiple tools to handle various image formats and perform precise alignment tasks.