Design of A Simple and Low Cost Near InfraRed Imaging (NIRI) System for Breast Cancer Detection

2019 ◽  
Author(s):  
Manal Mustafa Mohamedali ◽  
Minhee Kim ◽  
Jae Gwan Kim
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Near Infrared Imaging

Near infrared/ultrasound dual modal imaging for breast cancer detection

2006 ◽  
Author(s):  
R. X. Xu ◽  
S. P. Povoski ◽  
L. D. Yee ◽  
J. O. Olsen ◽  
B. Qiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Near Infrared ◽  
Breast Cancer Detection

scholarly journals Prospective evaluation of the limitations of near-infrared imaging in detecting axillary sentinel lymph nodes in primary breast cancer

2018 ◽  
Vol 24 (6) ◽  
pp. 1006-1009 ◽  
Author(s):  
Chafika Mazouni ◽  
Meriem Koual ◽  
Frederic De Leeuw ◽  
Angelica Conversano ◽  
Nicolas Leymarie ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Primary Breast Cancer ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Sentinel Lymph Nodes ◽  
Prospective Evaluation ◽  
Near Infrared Imaging

scholarly journals Machine Learning and Infrared Thermography for Breast Cancer Detection

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Caroline Gonçalves ◽  
Amanda Leles ◽  
Lucimara Oliveira ◽  
Gilmar Guimaraes ◽  
Juliano Cunha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Infrared Thermography ◽  
Cancer Detection ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Support Vector ◽  
Patients With Cancer ◽  
Vector Machines ◽  
Malignant Changes ◽  
Harmful Radiation

Breast cancer kills a large number of women around the world. Infrared thermography is a promising screening technique which does not involve harmful radiation for the patient and has a relatively low cost. This work proposes an approach for classifying patients into three different classes using infrared images: healthy patients, patients with benign changes and patients with cancer (malignant changes). A set of features is extracted from each image and two approaches are used in the classification process. The first is based on Artificial Neural Networks while the second is based on Support Vector Machines. The proposed approach shows a great potential to be used as a screening diagnosis technique for early breast cancer detection.

Breast Cancer: Early- and Late-Fluorescence Near-Infrared Imaging with Indocyanine Green—A Preliminary Study

Radiology ◽  
2011 ◽  
Vol 258 (2) ◽  
pp. 409-416 ◽  
Author(s):  
Alexander Poellinger ◽  
Susen Burock ◽  
Dirk Grosenick ◽  
Axel Hagen ◽  
Lutz Lüdemann ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Indocyanine Green ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Near Infrared Imaging ◽  
Preliminary Study
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