Segmentation of dermatoscopic images by stabilized inverse diffusion equations

被引：0

作者：

Gao, J ^{[1
]}

Zhang, J ^{[1
]}

Fleming, MG ^{[1
]}

Pollak, I ^{[1
]}

Cognetta, AB ^{[1
]}

机构：

[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Madison, WI 53706 USA

来源：

1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3 | 1998年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolution implementations of the SIDE and MRF algorithms were created for this work Techniques based on the SIDE and MRF algorithms produced the most accurate segmentations.

引用

页码：823 / 827

页数：5

共 50 条

[41] A novel multiresolution color image segmentation technique and its application to dermatoscopic image segmentation
Gao, J
Zhang, J
Fleming, MG
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2000, : 408 - 411
[42] NUMERICAL INVERSE LAPLACE TRANSFORM FOR CONVECTION-DIFFUSION EQUATIONS
Guglielmi, Nicola
Lopez-Fernandez, Maria
Nino, Giancarlo
MATHEMATICS OF COMPUTATION, 2020, 89 (323) : 1161 - 1191
[43] Uniqueness in inverse boundary value problems for fractional diffusion equations
Li, Zhiyuan
Imanuvilov, Oleg Yu
Yamamoto, Masahiro
INVERSE PROBLEMS, 2016, 32 (01)
[44] Global uniqueness in an inverse problem for time fractional diffusion equations
Kian, Y.
Oksanen, L.
Soccorsi, E.
Yamamoto, M.
JOURNAL OF DIFFERENTIAL EQUATIONS, 2018, 264 (02) : 1146 - 1170
[45] Deformation Formulas and Inverse Problems for Advection-diffusion Equations
Nakagiri, Shin-ichi
SIMULATION AND MODELING RELATED TO COMPUTATIONAL SCIENCE AND ROBOTICS TECHNOLOGY, 2012, 37 : 61 - 78
[46] The theory of information images: Modeling based on diffusion equations
Petukhov, Alexandr Y.
Polevaya, Sofia A.
Yakhno, Vladimir G.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2016, 9 (06)
[47] A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms
Nikitaev, V. G.
Pronichev, A. N.
Tamrazova, O. B.
Sergeev, V. Yu.
Solomatin, M. A.
Kruglova, L. S.
Kozlov, V. S.
Druzhinina, E. A.
BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2021, 55 (02): : 112 - 115
[48] Diffusion equations with negentropy applied to denoise mammographic images
Mayo, P.
Rodenas, F.
Ginestar, D.
Verdu, G.
Miro, R.
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 2027 - 2030
[49] Automatic segmentation of brain infarction in diffusion weighted MR images
Li, W
Tian, J
MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 2003, 5032 : 1531 - 1542
[50] Quality analysis of dermatoscopic images thresholding with malignant melanoma
Michalska, Magdalena
Hotra, Oleksandra
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2019, 2019, 11176

← 1 2 3 4 5 →