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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F11%2F0111" target="_blank" >GAP202/11/0111: Automatická analýza obrazů nervové tkáně ze světelné a elektronové mikroskopie</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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