Skin Diseases Detection From Images

Simple item page
dc.contributor.authorAmira, Lamrour
dc.contributor.authorkhadidja, Denidni
dc.contributor.authorSupervisor: Roussafi, Mahdjoubi
dc.date.accessioned2025-07-07T14:19:11Z
dc.date.available2025-07-07T14:19:11Z
dc.date.issued2025-06-15
dc.description.abstractMany skin diseases are a big problem for public health since it can be hard to identify them early on. Some conventional diagnosis methods such as inspecting a patient, are not always perfect and may take a long time. Recent years have see impressive developments in artificial intelligence, especially in deep learning, helping to bring about new possibilities in medicine. In our study, a deep learning system is suggested to assist in spotting skin diseases early by studying skin images.
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/46726
dc.language.isoen
dc.publisherMohamed Boudiaf University of M'sila
dc.subjectSkin diseases
dc.subjectMachine learning
dc.subjectHealthcare
dc.subjectHealth informatics
dc.subjectDeep leaning
dc.titleSkin Diseases Detection From Images
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Amira Lamrour; khadidja Denidni.pdf
Size:
3.3 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Master Thesis