Faculté des Sciences appliquées
Faculté des Sciences appliquées

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition

Mastrodicasa, Simon ULiège
Promotor(s) : Phillips, Christophe ULiège
Date of defense : 25-Jun-2018/26-Jun-2018 • Permalink :
Title : Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition
Translated title : [fr] Deep Learning Multi-Cas Multi-Etapes pour la Reconnaissance en Imagerie Medicale
Author : Mastrodicasa, Simon ULiège
Date of defense  : 25-Jun-2018/26-Jun-2018
Advisor(s) : Phillips, Christophe ULiège
Committee's member(s) : Zhang, Gary 
Geurts, Pierre ULiège
Louppe, Gilles ULiège
Language : English
Number of pages : 65
Keywords : [en] Machine learning
[en] MRI
[en] Deep Learning
[en] Multi-Instance
Discipline(s) : Engineering, computing & technology > Computer science
Research unit : University College of London
Target public : Researchers
Complementary URL : https: //
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur civil biomédical, à finalité spécialisée
Faculty: Master thesis of the Faculté des Sciences appliquées


[en] Given a 2D transversal slice, identify which body section it belongs to, which is a
classification problem.
The twist is, instead of having a database with segmented body parts (example:
in this image, the heart is placed there, which is the discriminative feature of the
"cardiac" body section), image level label (example:this image belongs to the "car-
diac" body section) are used to train the algorithm, reducing greatly the annotation
time done by a specialist.



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  • Mastrodicasa, Simon ULiège Université de Liège > Master ing. civ. biomed., à fin.


Committee's member(s)

  • Zhang, Gary
  • Geurts, Pierre ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique
    ORBi View his publications on ORBi
  • Louppe, Gilles ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data
    ORBi View his publications on ORBi
  • Total number of views 109
  • Total number of downloads 14

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