Computer Vision Systems Laboratories,
2011.
WWW Link.
Vendor, Medical Image Analysis. Various techniques and products. Infrared systems.
Goin, J.E.[James E.],
Haberman, J.D.[JoAnn D.],
Automated Breast Cancer Detection by Thermography:
Performance Goal and Diagnostic Feature Identification,
PR(16), No. 2, 1983, pp. 125-129.
Elsevier DOI
0309
BibRef
Earlier:
PR(15), No. 5, 1982, pp. 425.
Elsevier DOI
0309
BibRef
Goin, J.E.[James E.],
ROC Curve Estimation and Hypothesis Testing:
Applications to Breast Cancer Detection,
PR(15), No. 3, 1982, pp. 263-269.
Elsevier DOI
0309
BibRef
Tosteson, T.D.,
Pogue, B.W.,
Demidenko, E.,
McBride, T.O.,
Paulsen, K.D.,
Confidence maps and confidence intervals for near infrared images in
breast cancer,
MedImg(18), No. 12, December 1999, pp. 1188-1193.
IEEE Top Reference.
0110
BibRef
Schaefer, G.[Gerald],
Zavisek, M.[Michal],
Nakashima, T.[Tomoharu],
Thermography based breast cancer analysis using statistical features
and fuzzy classification,
PR(42), No. 6, June 2009, pp. 1133-1137.
Elsevier DOI
0902
BibRef
Earlier: A1, A3, A2:
Analysis of Breast Thermograms Based on Statistical Image Features and
Hybrid Fuzzy Classification,
ISVC08(I: 753-762).
Springer DOI
0812
Cancer diagnosis; Breast cancer; Medical thermography; Image analysis;
Pattern classification
BibRef
Rastghalam, R.[Rozita],
Pourghassem, H.[Hossein],
Breast cancer detection using MRF-based probable texture feature and
decision-level fusion-based classification using HMM on thermography
images,
PR(51), No. 1, 2016, pp. 176-186.
Elsevier DOI
1601
Breast cancer
BibRef
Mahmoudzadeh, E.,
Zekri, M.,
Montazeri, M.A.,
Sadri, S.,
Dabbagh, S.T.,
Directional SUSAN image boundary detection of breast thermogram,
IET-IPR(10), No. 7, 2016, pp. 552-560.
DOI Link
1608
cancer
BibRef
Sathish, D.[Dayakshini],
Kamath, S.[Surekha],
Prasad, K.[Keerthana],
Kadavigere, R.[Rajagopal],
Martis, R.J.[Roshan J.],
Asymmetry analysis of breast thermograms using automated segmentation
and texture features,
SIViP(11), No. 4, May 2017, pp. 745-752.
Springer DOI
1704
BibRef
Sathish, D.[Dayakshini],
Kamath, S.[Surekha],
Prasad, K.[Keerthana],
Kadavigere, R.[Rajagopal],
Role of normalization of breast thermogram images and automatic
classification of breast cancer,
VC(35), No. 1, January 2018, pp. 57-70.
Springer DOI
1902
BibRef
Pramanik, S.,
Banik, D.,
Bhattacharjee, D.,
Nasipuri, M.,
Bhowmik, M.K.,
Majumdar, G.,
Suspicious-Region Segmentation From Breast Thermogram Using
DLPE-Based Level Set Method,
MedImg(38), No. 2, February 2019, pp. 572-584.
IEEE DOI
1902
Image segmentation, Level set, Image color analysis,
Biomedical imaging, Breast cancer, SCH-CS, DLPE, suspicious region,
level set method
BibRef
Sánchez-Ruiz, D.[Daniel],
Olmos-Pineda, I.[Ivan],
Olvera-López, J.A.[J. Arturo],
Automatic region of interest segmentation for breast thermogram image
classification,
PRL(135), 2020, pp. 72-81.
Elsevier DOI
2006
Breast cancer, Automatic segmentation, Pattern recognition
BibRef
Raj, A.M.A.E.[Anthony Muthu Arul Edwin],
Sundaram, M.[Muniasamy],
Jaya, T.[Thirassama],
Thermography based breast cancer detection using self-adaptive gray
level histogram equalization color enhancement method,
IJIST(31), No. 2, 2021, pp. 854-873.
DOI Link
2105
breast cancer, color enhancement, histogram equalization,
infrared images, thermography, tumor
BibRef
Koshki, A.S.[Asma Shamsi],
Ahmadzadeh, M.R.,
Zekri, M.,
Sadri, S.,
Mahmoudzadeh, E.,
A level-set method for inhomogeneous image segmentation with
application to breast thermography images,
IET-IPR(15), No. 7, 2021, pp. 1439-1458.
DOI Link
2106
BibRef
Pramanik, S.[Sourav],
Bhattacharjee, D.[Debotosh],
Nasipuri, M.[Mita],
Krejcar, O.[Ondrej],
LINPE-BL: A Local Descriptor and Broad Learning for Identification of
Abnormal Breast Thermograms,
MedImg(40), No. 12, December 2021, pp. 3919-3931.
IEEE DOI
2112
Breast, Feature extraction, Nonhomogeneous media,
Support vector machines, Gray-scale, Deep learning,
breast cancer
BibRef
Kakileti, S.T.,
Venkataramani, K.,
Automated blood vessel extraction in two-dimensional breast
thermography,
ICIP16(380-384)
IEEE DOI
1610
Biology
BibRef
Villalobos-Montiel, A.J.[Adrian J.],
Chacon-Murguia, M.I.[Mario I.],
Calderon-Contreras, J.D.[Jorge D.],
Ortega-Maynez, L.[Leticia],
Automatic Segmentation of Regions of Interest in Breast Thermographic
Images,
MCPR15(135-144).
Springer DOI
1506
BibRef
Krawczyk, B.[Bartosz],
Schaefer, G.[Gerald],
Effective Imbalanced Classification of Breast Thermogram Features,
PReMI15(535-544).
Springer DOI
1511
BibRef
Earlier:
An Analysis of Properties of Malignant Cases for Imbalanced Breast
Thermogram Feature Classification,
ACPR13(305-309)
IEEE DOI
1408
biomedical optical imaging
BibRef
Chacon-Murguia, M.I.[Mario I.],
Villalobos-Montiel, A.J.[Adrian J.],
Calderon-Contreras, J.D.[Jorge D.],
Thermal Image Processing for Breast Symmetry Detection Oriented to
Automatic Breast Cancer Analysis,
MCPR14(271-280).
Springer DOI
1407
BibRef
Rodrigues, E.O.,
Conci, A.,
Borchartt, T.B.,
Paiva, A.C.,
Correa Silva, A.,
MacHenry, T.,
Comparing results of thermographic images based diagnosis for breast
diseases,
WSSIP14(39-42)
1406
Accuracy
BibRef
Krawczyk, B.[Bartosz],
Schaefer, G.[Gerald],
Effective multiple classifier systems for breast thermogram analysis,
ICPR12(3345-3348).
WWW Link.
1302
BibRef
da Silveira F, O.T.,
Serrano, R.C.,
Conci, A.,
de Melo, R.H.C.,
Lima, R.C.F.,
On Using Lacunarity for Diagnosis of Breast Diseases Considering
Thermal Images,
WSSIP09(1-4).
IEEE DOI
0906
BibRef
Unser, M.,
van Hamme, H.,
de Muynck, P.,
van Denhaute, E.,
Cornelis, J.,
Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images
for Early Breast Cancer Detection,
CVPR88(592-596).
IEEE DOI
BibRef
8800
Varga, M.J.,
de Muynck, P.,
Thermal analysis of infra-red mammography,
ICPR92(III:360-364).
IEEE DOI
9208
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammography, Texture Based Techniques, Wavelets .