Differentiation Between Benign and Malignant Skin Tumors by Image Analysis, Neural Networks, and Other Methods of Machine Learning

Michael Binder; Harald Kittler; H. Pehamberger; Stephan Dreiseitl

Differentiation Between Benign and Malignant Skin Tumors by Image Analysis, Neural Networks, and Other Methods of Machine Learning

Michael Binder
, Harald Kittler
, H. Pehamberger
, Stephan Dreiseitl

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Chapter

Abstract

Malignant melanoma of the skin is the fastest growing cancer in the Western world, with incidence rates in Caucasian populations increasing between 3% and 7% in recent years. This means that incidence rates will double every 10 to 25 years (1).

Original language	English
Title of host publication	Bioengineering of the Skin
Subtitle of host publication	Skin Imaging and Analysis
Publisher	Informa Healthcare
Pages	297-304
Number of pages	8
ISBN (Electronic)	9781420005516
ISBN (Print)	9780849338175
Publication status	Published - 1 Jan 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@inbook{00949a6aa7b04950bed848cbf8b06e92,

title = "Differentiation Between Benign and Malignant Skin Tumors by Image Analysis, Neural Networks, and Other Methods of Machine Learning",

abstract = "Malignant melanoma of the skin is the fastest growing cancer in the Western world, with incidence rates in Caucasian populations increasing between 3\% and 7\% in recent years. This means that incidence rates will double every 10 to 25 years (1).",

author = "Michael Binder and Harald Kittler and H. Pehamberger and Stephan Dreiseitl",

year = "2006",

month = jan,

day = "1",

language = "English",

isbn = "9780849338175",

pages = "297--304",

booktitle = "Bioengineering of the Skin",

publisher = "Informa Healthcare",

address = "United Kingdom",

}

TY - CHAP

T1 - Differentiation Between Benign and Malignant Skin Tumors by Image Analysis, Neural Networks, and Other Methods of Machine Learning

AU - Binder, Michael

AU - Kittler, Harald

AU - Pehamberger, H.

AU - Dreiseitl, Stephan

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Malignant melanoma of the skin is the fastest growing cancer in the Western world, with incidence rates in Caucasian populations increasing between 3% and 7% in recent years. This means that incidence rates will double every 10 to 25 years (1).

AB - Malignant melanoma of the skin is the fastest growing cancer in the Western world, with incidence rates in Caucasian populations increasing between 3% and 7% in recent years. This means that incidence rates will double every 10 to 25 years (1).

UR - https://www.scopus.com/pages/publications/85056945777

M3 - Chapter

SN - 9780849338175

SP - 297

EP - 304

BT - Bioengineering of the Skin

PB - Informa Healthcare

ER -

Differentiation Between Benign and Malignant Skin Tumors by Image Analysis, Neural Networks, and Other Methods of Machine Learning

Abstract

UN SDGs

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