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Cited by 13AI in cancer detectionCutaneous Melanoma Detection and ManagementDigital Imaging in Medicine

Hypertext atlas of dermatopathology with expert system for epithelial tumors of the skin

Feit, Josef, Kempf, Werner, Jedličková, Hana, Burg, Günter·2005·Journal of Cutaneous Pathology
DOI 10.1111/j.0303-6987.2005.00291.x
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Abstract

BACKGROUND: Image resolution required for reference histological images is high. Obtaining high-resolution images requires a system, composing large image from individual smaller components. Such systems must thus be capable of automatically taking individual image parts, performing shading compensation and fusion of the image parts into one large image. Distribution of such images over the Internet requires developing a suitable user's interface with access to the image details. METHODS: The ways of creating high-resolution images (virtual slides) and the interface enabling access to image details using Internet browser are described. RESULTS: A collection of about 3200 dermatopathological, mostly histologic images is available at http://www.muni.cz/atlases: Hypertext atlas of dermatopathology. Methods of high-resolution image acquisition were used in digitizing the collection of skin lymphomas (Dermatology Institute, University Hospital, Zurich), which is a part of the atlas. The atlas is continuously maintained and upgraded; the number of contributors is growing.

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Crossref · 10.1111/j.0303-6987.2005.00291.x

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  • Hypertext Atlas of Dermatopathology offers over 3000 annotated, high-resolution images with clinical and microscopic descriptions, enabling learners to narrow or broaden differential diagnoses through linked features and chapters.

    “One such resource, Hypertext Atlas of Dermatopathology, offers over 3000 annotated, high-resolution images with clinical and microscopic descriptions, enabling learners to narrow or broaden differential diagnoses through linked features and chapters [53].”

    From Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature (2026) · cites this paper as [53]

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Authors
Feit, J., Kempf, W., Jedličková, H., & Burg, G.
Affiliations
  • Masaryk University (CZ)
  • University Hospital Zurich (CH)
Corresponding author
Feit, Josef
ORCID
Venue
Journal of Cutaneous Pathology
Publisher
Wiley
Published
2005-06-07
Volume
32
Issue
6
Pages
433-437
ISSN
  • 0303-6987 (ISSN-L)
  • 1600-0560
DOI
10.1111/j.0303-6987.2005.00291.x
OpenAlex
W2034817428
Cited by
13
References
8
Citations by year
2026: 2 · 2024: 2 · 2023: 1 · 2021: 2 · 2017: 1 · 2016: 1 · 2012: 2
FWCI
0.70
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Journal of Cutaneous Pathology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Digital Imaging in Medicine
Keywords
dermatopathology, virtual slides, image fusion, skin lymphoma, epithelial skin tumors, expert systems, histopathology education
MeSH terms
Dermatology, Expert Systems, Humans, Image Processing, Computer-Assisted, Lymphoma, Pathology, Clinical, Skin Neoplasms, Hypermedia, Internet

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