Program
Introduction
Image analysis in Pathology incorporates a variety of steps including
capture of digitised images, data retrieval and viewing and meaningful
analysis of the digitised images. Each step carries a variety of
technical challenges which, if they can be overcome, opens up a range of
possibilities which will improve Pathology diagnosis and research. Every
person has different requirements and expectations of image analysis –
from use of the technology as an alternative viewing method to the
microscope through to sophisticated mining of multispectral images.
The aim of the training school is to allow participants to learn
about the principles image analysis through a series of lectures and
practical sessions led by an international faculty of pathologists and
computer scientists. In addition to that, some case studies will be
presented involving commercial software and systems, to cover the whole
range of possibilities provided by image analysis technology.
The School takes the name after the University of Nottingham dept. of
Pathology, where the training school has been initially started. The
first edition web site is here;
the second edition, held in Dubingiai, Lithuania, can be found here.
Program
23 June, 2011
- 8-9 Registration (including wireless access account)
- Welcome by prof. M.Morgante, Rector's delegate for Research
- 9–10 Introduction – the role of image analysis in Pathology
(Marcial Rojo, Ciudad Real Hospital, Spain and Mohammad Ilyas,
U.Nottingham, UK)(M.G.Rojo
presentation)
- 10-10:30 Introduction to digital images/1 (Branimir Reljin,
U.Belgrade, Serbia) (presentation)
- 10:30-10:50 Coffee /Tea
- 10:50-11:20 Introduction to digital images/2 (Branimir
Reljin, U.Belgrade, Serbia) (presentation)
- 11:20-11:50 Basic use of imageJ and loading ImageJ onto laptops – (Vincenzo Della Mea, U.Udine, Italy)
- 11:50-13 Practical session of easy image analysis problems
(Vincenzo Della Mea, U.Udine, Italy)(presentation)
- 13–14:15 Light lunch
- 14-15 Image segmentation (Guoping Qiu, U.Nottingham, UK)
(presentation and
material)
- 15-15:40 Case study: automated immunohistochemistry (Chiara Cantaloni, Trento Hospital, Italy)
- 15:40-16 Coffee /Tea
- 16:00 – 18 Practical image processing: noise and basic segmentation (Gabriel Landini, U.Birmingham, UK)
- 20-23 The School Dinner
24 June, 2011
- 9–10:40 Practical particle analysis and colour image processing (Gabriel Landini, U.Birmingham, UK)
- 10:40–11 Coffee /Tea
- 11–11:45 Stereology for tumour analysis (Paulette Herlin, U.Caen, France)
- 11:45–12:30 Practical session: quantification of numerical density (Philippe Belhomme, U.Caen, France)
- 12:30-13 Case study: SNOMED-CT and digital slides (Stephanie Gehring, U.Ulm, Germany)
- 13-14:15 Light lunch
- 14:15–15:30 Practical session: quantification of volume fraction and quality control of image analysis using stereology (Philippe Belhomme, U.Caen, France)
- 15:30-15:50 Coffee /Tea
- 15:50-16:30 Case Study: easy fluorescence quantification (Daniela Cesselli, U.Udine, Italy)
- 16:30 Final remarks (Vincenzo Della Mea, M.Ilyas, M.Garcia Rojo)
