TY - GEN
T1 - Detection of tumor tissue based on the multispectral imaging
AU - Świtoński, Adam
AU - Michalak, Marcin
AU - Josiński, Henryk
AU - Wojciechowski, Konrad
PY - 2010
Y1 - 2010
N2 - We have prepared multispectral image database of skin tumor diagnosis. All images have been labeled with two classes - tumor and healthy tissues. We have extracted pixel signatures with their spectral data and class assigning, thus obtained train dataset. Next we have used and evaluated the supervised learning techniques for the purpose of automatic tumor detection. We have tested Naive Bayes, KNN, Multilayer Perceptron, LibSVM, LibLinear, RBFNetwork, ConjuctiveRule, DecisionTable and PART classifiers. We have obtained results on the level of 99% classifier efficiency. We have visualized classification for example images by coloring class regions and verified if they overlap with labeled regions.
AB - We have prepared multispectral image database of skin tumor diagnosis. All images have been labeled with two classes - tumor and healthy tissues. We have extracted pixel signatures with their spectral data and class assigning, thus obtained train dataset. Next we have used and evaluated the supervised learning techniques for the purpose of automatic tumor detection. We have tested Naive Bayes, KNN, Multilayer Perceptron, LibSVM, LibLinear, RBFNetwork, ConjuctiveRule, DecisionTable and PART classifiers. We have obtained results on the level of 99% classifier efficiency. We have visualized classification for example images by coloring class regions and verified if they overlap with labeled regions.
UR - https://www.scopus.com/pages/publications/78049319385
U2 - 10.1007/978-3-642-15907-7_40
DO - 10.1007/978-3-642-15907-7_40
M3 - Conference contribution
AN - SCOPUS:78049319385
SN - 3642159060
SN - 9783642159060
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 325
EP - 333
BT - Computer Vision and Graphics - International Conference, ICCVG 2010, Proceedings
T2 - International Conference on Computer Vision and Graphics, ICCVG 2010
Y2 - 20 September 2010 through 22 September 2010
ER -