Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Classifying Microscopic Images for Acute Lymphoblastic Leukemia (ALL) using Bayesian Convolutional Neural Networks
Örebro University, Örebro University School of Business.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 44
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-67990OAI: oai:DiVA.org:oru-67990DiVA, id: diva2:1233518
Subject / course
Statistik
Supervisors
Examiners
Available from: 2018-07-18 Created: 2018-07-18 Last updated: 2018-07-20Bibliographically approved

Open Access in DiVA

fulltext(5857 kB)36 downloads
File information
File name FULLTEXT01.pdfFile size 5857 kBChecksum SHA-512
99ccf6131d0f8a1ef758c8487cf2ab16134005cac457ca6ea8354c77ee0903c0a52f11f46b80a84f97713b5898fe4e21b2552cef53f1ea2c83879475541e161d
Type fulltextMimetype application/pdf

By organisation
Örebro University School of Business
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 36 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 398 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf