Novel Four Stages Classification of Breast Cancer Using Infrared Thermal Imaging and a Deep Learning Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015948" target="_blank" >RIV/62690094:18450/19:50015948 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/332775063_Novel_Four_Stages_Classification_of_Breast_Cancer_Using_Infrared_Thermal_Imaging_and_a_Deep_Learning_Model" target="_blank" >https://www.researchgate.net/publication/332775063_Novel_Four_Stages_Classification_of_Breast_Cancer_Using_Infrared_Thermal_Imaging_and_a_Deep_Learning_Model</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-17935-9_7" target="_blank" >10.1007/978-3-030-17935-9_7</a>

Result language
angličtina
Original language name
Novel Four Stages Classification of Breast Cancer Using Infrared Thermal Imaging and a Deep Learning Model
Original language description
According to a recent study conducted in 2016, 2.8 million women worldwide had already been diagnosed with breast cancer; moreover, the medical care of a patient with breast cancer is costly and, given the cost and value of the preservation of the health of the citizen, the prevention of breast cancer has become a priority in public health. We have seen the apparition of several techniques during the past 60 years, such as mammography, which is frequently used for breast cancer diagnosis. However, false positives of mammography can occur in which the patient is diagnosed positive by another technique. Also, the potential side effects of using mammography may encourage patients and physicians to look for other diagnostic methods. This article, present a Novel technique based on an inceptionV3 couples to k-Nearest Neighbors (InceptionV3-KNN) and a particular module that we named: “StageCancer.” These techniques succeed to classify breast cancer in four stages (T1: non-invasive breast cancer, T2: the tumor measures up to 2Â cm, T3: the tumor is larger than 5Â cm and T4: the full breast is cover by cancer).
Czech name
—
Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-17934-2
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
63-74
Publisher name
Springer Verlag
Place of publication
Berlin
Event location
Yogakarta
Event date
May 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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