A new approach to Mueller matrix reconstruction of skin cancer lesions using a dual rotating retarder polarimeter

2006 ◽  
Author(s):  
Jessica C. Ramella-Roman ◽  
Don D. Duncan
Keyword(s):  
Skin Cancer ◽  
Mueller Matrix ◽  
New Approach ◽  
Matrix Reconstruction

scholarly journals Topical 5-FU—A New Approach to Skin Cancer

1971 ◽  
Vol 173 (6) ◽  
pp. 864-871 ◽  
Author(s):  
ASHBEL C. WILLIAMS
Keyword(s):  
Skin Cancer ◽  
New Approach

Mueller-matrix reconstruction of biological tissue architectonics

2006 ◽  
Author(s):  
Yu. A. Ushenko ◽  
G. V. Sorochan ◽  
Yu. Y. Tomka ◽  
O. Y. Wanchulyak
Keyword(s):  
Biological Tissue ◽  
Mueller Matrix ◽  
Matrix Reconstruction

Interpretation of Mueller matrix images based on polar decomposition and statistical discriminators to distinguish skin cancer

2003 ◽  
Author(s):  
Jung R. Chung ◽  
Aimee H. DeLaughter ◽  
Justin S. Baba ◽  
Clifford H. Spiegelman ◽  
M. S. Amoss ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Polar Decomposition ◽  
Mueller Matrix

Blind Separation of Coherent Signals Based on Toeplitz Matrix Reconstruction

2011 ◽  
Vol 135-136 ◽  
pp. 331-335
Author(s):  
Ling Tang ◽  
Hong Song ◽  
Lian Jun Hu
Keyword(s):  
Toeplitz Matrix ◽  
Array Element ◽  
Blind Separation ◽  
Coherent Signals ◽  
New Approach ◽  
Low Snr ◽  
Matrix Reconstruction ◽  
Blind Beamforming ◽  
The Matrix ◽  
Value Decomposition

A new blind beamforming algorithm for separating and estimating coherent signals arriving at an antenna array is proposed in this paper. This algorithm is implemented through arranging the received data’s correlation function of each array element and reference array element (the first array element), to form the Hermitian Toeplitz matrix first. Then through the singular value decomposition of the matrix the signal subspace and noise subspace can be get, in order to achieve the direction vector of coherent sources to beamform, which can separate the independent signals from different directions effectively without knowing the transcendent knowledge of the signals. The new approach can estimate the coherent signals’ direction-of-arrival(DOA) on the basis of separation, and has good performance under the low SNR. The simulation results show that the proposed method is effective．

Design of a teledermatology system to support the consultation of dermoscopic cases using mobile technologies and cloud platform

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Joanna Jaworek-Korjakowska ◽  
Ryszard Tadeusiewicz
Keyword(s):  
Skin Cancer ◽  
Family Physicians ◽  
Smartphone Application ◽  
Mobile Technologies ◽  
Correct Identification ◽  
Consultation Process ◽  
New Approach ◽  
Skin Cancers ◽  
Malignant Skin ◽  
Dermoscopic Image

AbstractSkin cancer is the most commonly diagnosed type of cancer in humans regardless of age, gender, or race. One of the most common malignant skin cancers is melanoma, which is a dangerous proliferation of melanocytes. In the last several years, an increasing melanoma incidence has been observed worldwide, and the incidence rate is increasing faster than those of any other skin cancer. The correct identification and diagnosis of moles still creates problems to inexperienced dermatologists and family physicians. In this paper, we present a new approach to the problem of assessing difficult cases in dermatology. We propose a teledermatology system to support the consultation process between family physicians and experts in the field of dermoscopic images. The system consists of a desktop monitoring application and a special smartphone application implemented for experts. If necessary, the physician can send the dermoscopic image to two dermatologists for further examination. This cloud-based architecture provides an interesting system for a fast and efficient exchange of dermatological information. Initial results and assessment of doctors are promising and indicate that the application can be used as a decision support system for dermoscopic images.

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