Computer Vision Techniques for the Diagnosis of Skin Cancer:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Schriftenreihe: | Series in BioEngineering
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| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext |
| Beschreibung: | The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi |
| Beschreibung: | 1 Online-Ressource (X, 282 p.) 136 illus., 120 illus. in color |
| ISBN: | 9783642396083 |
| DOI: | 10.1007/978-3-642-39608-3 |
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Datensatz im Suchindex
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| contents | Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images |
| ctrlnum | (OCoLC)862971643 (DE-599)BVBBV041471052 |
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| discipline | Medizin |
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| id | DE-604.BV041471052 |
| illustrated | Illustrated |
| indexdate | 2024-08-01T10:55:48Z |
| institution | BVB |
| isbn | 9783642396083 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026917194 |
| oclc_num | 862971643 |
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| owner_facet | DE-Aug4 DE-92 DE-634 DE-859 DE-898 DE-BY-UBR DE-573 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource (X, 282 p.) 136 illus., 120 illus. in color |
| psigel | ZDB-2-ENG |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| record_format | marc |
| series2 | Series in BioEngineering |
| spellingShingle | Scharcanski, Jacob Computer Vision Techniques for the Diagnosis of Skin Cancer Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images Engineering Dermatology Computer vision Biomedical engineering Biomedical Engineering Image Processing and Computer Vision Signal, Image and Speech Processing Medical and Radiation Physics Ingenieurwissenschaften |
| title | Computer Vision Techniques for the Diagnosis of Skin Cancer |
| title_auth | Computer Vision Techniques for the Diagnosis of Skin Cancer |
| title_exact_search | Computer Vision Techniques for the Diagnosis of Skin Cancer |
| title_full | Computer Vision Techniques for the Diagnosis of Skin Cancer edited by Jacob Scharcanski, M. Emre Celebi |
| title_fullStr | Computer Vision Techniques for the Diagnosis of Skin Cancer edited by Jacob Scharcanski, M. Emre Celebi |
| title_full_unstemmed | Computer Vision Techniques for the Diagnosis of Skin Cancer edited by Jacob Scharcanski, M. Emre Celebi |
| title_short | Computer Vision Techniques for the Diagnosis of Skin Cancer |
| title_sort | computer vision techniques for the diagnosis of skin cancer |
| topic | Engineering Dermatology Computer vision Biomedical engineering Biomedical Engineering Image Processing and Computer Vision Signal, Image and Speech Processing Medical and Radiation Physics Ingenieurwissenschaften |
| topic_facet | Engineering Dermatology Computer vision Biomedical engineering Biomedical Engineering Image Processing and Computer Vision Signal, Image and Speech Processing Medical and Radiation Physics Ingenieurwissenschaften |
| url | https://doi.org/10.1007/978-3-642-39608-3 |
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