Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing
This paper shows new contributions in the detection of skin cancer, where we present the use of a customized hyperspectral system that captures images in the spectral range from 450 to 950 nm. By choosing a 7 × 7 sub-image of each channel in the hyperspectral image (HSI) and then taking the mean and...
Main Authors: | Stig Uteng, Eduardo Quevedo, Gustavo M. Callico, Irene Castaño, Gregorio Carretero, Pablo Almeida, Aday Garcia, Javier A. Hernandez, Fred Godtliebsen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/3/680 |
Similar Items
-
Early Detection of Change by Applying Scale-Space Methodology to Hyperspectral Images
by: Stig Uteng, et al.
Published: (2020-03-01) -
Apple Bruise Grading Using Piecewise Nonlinear Curve Fitting for Hyperspectral Imaging Data
by: Yu Tang, et al.
Published: (2020-01-01) -
Expression of cyclooxygenase-2 in melanocytic skin lesions by immunohistochemistry
by: Armaghan Ghareaghaji Zare, et al.
Published: (2017-01-01) -
Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support
by: Raquel Leon, et al.
Published: (2020-06-01) -
Skin Tumors among Biopsy Samples in Patients Attending Dermatological Out Patient Department in a Tertiary Care Hospital of Nepal: A Descriptive Cross-sectional Study
by: Shristi Shrestha, et al.
Published: (2021-09-01)