HOME > 상세정보

상세정보

Computer vision techniques for the diagnosis of skin cancer [electronic resource]

Computer vision techniques for the diagnosis of skin cancer [electronic resource]

자료유형
E-Book(소장)
개인저자
Scharcanski, Jacob. Celebi, M. Emre.
서명 / 저자사항
Computer vision techniques for the diagnosis of skin cancer [electronic resource] / Jacob Scharcanski, M. Emre Celebi, editors.
발행사항
Berlin ;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2014.  
형태사항
1 online resource (x, 282 p.) : ill. (chiefly col.).
총서사항
Series in bioengineering,2196-8861
ISBN
9783642396083
요약
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.
일반주기
Title from e-Book title page.  
내용주기
Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Skin --Cancer --Diagnosis --Technological innovations. Computer vision in medicine.
바로가기
URL
000 00000nam u2200205 a 4500
001 000046049454
005 20201008144042
006 m d
007 cr
008 201005s2014 gw a ob 000 0 eng d
020 ▼a 9783642396083
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a R856-857
082 0 4 ▼a 616.99/477075 ▼2 23
084 ▼a 616.99477075 ▼2 DDCK
090 ▼a 616.99477075
245 0 0 ▼a Computer vision techniques for the diagnosis of skin cancer ▼h [electronic resource] / ▼c Jacob Scharcanski, M. Emre Celebi, editors.
260 ▼a Berlin ; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (x, 282 p.) : ▼b ill. (chiefly col.).
490 1 ▼a Series in bioengineering, ▼x 2196-8861
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images.
520 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Skin ▼x Cancer ▼x Diagnosis ▼x Technological innovations.
650 0 ▼a Computer vision in medicine.
700 1 ▼a Scharcanski, Jacob.
700 1 ▼a Celebi, M. Emre.
830 0 ▼a Series in bioengineering.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-642-39608-3
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 616.99477075 등록번호 E14034314 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

관련분야 신착자료

Shen, Chang-Hui (2021)
대한심장학회. 여성심장질환연구회 (2020)
대한심장학회. 심인성쇼크연구회 (2021)