Detection d'objets rares au sein de coupes histologiques par apprentissage automatique

Debit, Ahmed

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Master’s dissertation (Dissertations and theses)

Detection d'objets rares au sein de coupes histologiques par apprentissage automatique

Debit, Ahmed

2014

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https://hdl.handle.net/2268/210158

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A supervised learning software tool to detect and to classify ovarian follicles

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Keywords :

Machine learning; Classification; Ovarian follicles

Disciplines :

Computer science

Author, co-author :

Debit, Ahmed ; Université de Liège - ULiège > Doct. sc. (info.)

Language :

French

Title :

Detection d'objets rares au sein de coupes histologiques par apprentissage automatique

Alternative titles :

[en] Supervised learning for the detection of rare objects within histological sections

Defense date :

08 September 2014

Number of pages :

Institution :

ULiège - Université de Liège

Degree :

Master degree

Promotor :

Geurts, Pierre ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

President :

Charlier, Paulette ; Université de Liège - ULiège > Département des sciences de la vie > Macromolécules biologiques

Jury member :

Marée, Raphaël ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Munaut, Carine ; Université de Liège - ULiège > GIGA > GIGA Cancer - Tumours and development biology

BLACHER, Silvia ; Université de Liège - ULiège > GIGA > GIGA Cancer - Tumours and development biology

Additional URL :

http://www.student.montefiore.ulg.ac.be/~debit/project/index.php

Available on ORBi :

since 02 May 2017

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