21.7.2.4 Mammography, Thermal, Infrared Analysis

Chapter Contents (Back)
Mammograms. Thermal. Infrared. Medical, Applications.

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


Lessa, V.[Vanessa], Marengoni, M.[Mauricio],
Applying Artificial Neural Network for the Classification of Breast Cancer Using Infrared Thermographic Images,
ICCVG16(429-438).
Springer DOI 1611
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 .


Last update:Mar 16, 2024 at 20:36:19