eprintid: 36678
rev_number: 9
eprint_status: archive
userid: 2581
dir: disk0/00/03/66/78
datestamp: 2025-06-03 09:42:22
lastmod: 2025-06-03 09:42:22
status_changed: 2025-06-03 09:42:22
type: HD.PhdThesisAb
metadata_visibility: show
creators_name: Haggenmüller, Sarah
title: The Skin Classification Project: How can an artificial intelligence-based algorithm for image-based melanoma detection be suc-cessfully implemented in clinical practice?
subjects: 610
divisions: i-60001
adv_faculty: af-06
keywords: Dermatologie
date: 2023
own_urn: urn:nbn:de:bsz:16-heidok-366789
date_accepted: 2025-05-05
advisor: HASH(0x55caa0db07e8)
language: ger
bibsort: HAGGENMULLTHESKINCLA2023
full_text_status: public
citation:   Haggenmüller, Sarah  (2023) The Skin Classification Project: How can an artificial intelligence-based algorithm for image-based melanoma detection be suc-cessfully implemented in clinical practice?  [Abstract of a medical dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/36678/1/diss25_e037.pdf