Binary Classification of Histopathological Images by Pre-Trained modified VGG16 model

Lamoureux, Maxim

Aaltodoc
→
1a Kandidaatintyöt / Bachelor’s theses
→
[kand] Kemian tekniikan korkeakoulu / CHEM
→
View Item

Binary Classification of Histopathological Images by Pre-Trained modified VGG16 model



Title:	Binary Classification of Histopathological Images by Pre-Trained modified VGG16 model
Author(s):	Lamoureux, Maxim
Date:	2022-04-15
Language:	en
Pages:	14
Major/Subject:	Kemian tekniikka ja prosessit
Degree programme:	Kemiantekniikan kandidaattiohjelma
Supervising professor(s):	Hummel, Michael
Thesis advisor(s):	Jung, Alexander
Keywords:	radiomics, transfer learning, deep learning, vgg16, machine learning, histopathology
Full text:	Access to full text
» Show full item record
Permanent link to this item: http://urn.fi/URN:NBN:fi:aalto-202301311843 Email this Export to RefWorks QR Code Print BibTex Tweet

Files in this item

Name: Lamoureux_Maxim_2022.pdf

Size: 870.8Kb

Format: PDF

Access:

Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.