Image processing in digital pathology: an opportunity to improve the characterization of IHC staining through normalization, compartmentalization and colocalization

Image processing in digital pathology: an opportunity to improve the characterization of IHC staining through normalization, compartmentalization and colocalization

With the increasing amount of information needed for diagnosis and therapeutic decision-making, and new trends such as “personalized medicine”, pathologists are expressing an increasing demand for automated tools that perform their most recurrent tasks in their daily practice, as well as an increase...

Full description

Bibliographic Details
Main Author: Van Eycke, Yves-Remi
Other Authors: Decaestecker, Christine
Format: Doctoral Thesis
Language:en
Published: Universite Libre de Bruxelles 2018
Subjects:
Techniques d'imagerie et traitement d'images
Informatique médicale
Ingénierie biomédicale
Informatique générale
Sciences de l'ingénieur
Histologie
Anatomopathologie
Analyse d'images
Traitement d'images
Biomédical
Immunohistochimie
Tissue MicroArray
Deep Learning
Machine learning
Recalage d'images
Normalisation d'images
Digital pathology
Online Access:https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/5/contratYRV.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/4/these_finale.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/3/table_of_content.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277642

Internet

https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/5/contratYRV.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/4/these_finale.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/277642/3/table_of_content.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277642

Similar Items