Segmentation and registration of multiple stained histological sections -- {PhD} Thesis Proposal

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211382" target="_blank" >RIV/68407700:21230/13:00211382 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Segmentation and registration of multiple stained histological sections -- {PhD} Thesis Proposal

Original language description

The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer investigation. Creating these maps requires registering sets of histological images, a challenging task due to their large size, the non-linear distortions existing between consecutive sections and to the fact that the images correspond to different histological stains and thus, may have very different appearance. This thesis proposaldiscusses the registration of differently stained consecutive histological sections together with typical image size of several thousands times several thousands pixels. The main idea is to do the segmentation farst and then run the registration on thesegmented images which should be faster (simpler similarity metric to evaluate or e.g. kind of contour registration) and more robust. So far, we have preferred the segmentation and registration of stained histological sections independent

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GAP202%2F11%2F0111" target="_blank" >GAP202/11/0111: Automatic analysis of light and electron microscopy neuronal data</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů