Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
SLO
Login
Search
Browsing
Upload document
Statistics
RUP
FAMNIT - Faculty of Mathematics, Science and Information Technologies
FHŠ - Faculty of Humanities
FM - Faculty of Management
FTŠ Turistica - Turistica – College of Tourism Portorož
FVZ - Faculty of Health Sciences
IAM - Andrej Marušič Institute
PEF - Faculty of Education
UPR - University of Primorska
ZUP - University of Primorska Press
COBISS
University of Primorska, University Library - all departments
First page
/
Show document
Show document
A-
|
A+
|
Print
Title:
Stališče moških do raka dojk pri moških : diplomska naloga
Authors:
ID
Bevk, Polona
(Author)
ID
Prosen, Mirko
(Mentor)
More about this mentor...
Files:
FVZ_ZN_Bevk_Polona_i2019.pdf
(1,48 MB)
MD5: D3F0E5A4EB649B7B399C935ECA2B33FF
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FVZ - Faculty of Health Sciences
Keywords:
rak
,
dojke
,
moški
,
ozaveščenost
,
samopregledovanje
Place of publishing:
Izola
Place of performance:
Izola
Publisher:
[N. Bevk]
Year of publishing:
2019
Year of performance:
2019
Number of pages:
V, 45 str.
PID:
20.500.12556/RUP-10096
UDC:
616-006
COBISS.SI-ID:
1541047236
Publication date in RUP:
06.02.2019
Views:
3403
Downloads:
130
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
BEVK, Polona, 2019,
Stališče moških do raka dojk pri moških : diplomska naloga
[online]. Bachelor’s thesis. Izola : N. Bevk. [Accessed 29 March 2025]. Retrieved from: https://repozitorij.upr.si/IzpisGradiva.php?lang=eng&id=10096
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Person activity recognition from image sequence using deep recurrent neural networks
Person age estimation based on digital images using convolutional neural networks
Detection of single person in depth image using convolutional neural networks
Food recognition from digital images using convolutional neural networks
Recognition of human emotions on digital images using convolutional neural networks
Similar works from other repositories:
Object detection and classification in aquatic environment using convolutional neural networks
Detekcija uhljev s konvolucijskimi nevronskimi mrežami
Traffic sign recognition with deep convolutional neural networks
Iris recognition using artificial neural networks
Strengths and weaknesses of deep face recognition models
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back