Automatic
Detection of Microcalcification in Mammograms –
A Review
K.Thangavel (1),
M.Karnan (2),
R.Sivakumar (3),
A. Kaja
Mohideen (3)
1: Department of Mathematics,
Gandhigram Rural Institute-Deemed
University,
2: Department of computer science,
Gandhigram Rural Institute-Deemed
University,
Gandhigram-624302, Tamil Nadu, India. Email: karnanme@yahoo.com
fax:91-4551-227229
3: Department of Computer Science and Engineering, R.V.S.College
of Engineering & Technology, Dindigul, Tamil Nadu,
India.
ABSTRACT
In this
review paper, it is intended to summarize and compare
the methods of automatic detection of microcalcifications
in digitized mammograms used in various stages of the
Computer Aided Detection systems (CAD). In particular,
the pre processing and enhancement, bilateral subtraction
techniques, segmentation algorithms, feature extraction,
selection and classification, classifiers, Receiver Operating
Characteristic (ROC); Free-response Receiver Operating
Characteristic (FROC) analysis and their performances
are studied and compared.
Keywords:
Mammography, Microcalcification, Image
Enhancement, Segmentation, Feature extraction.
Biograpgy:
 |
THANGAVEL
KUTTIANNAN, received the Master
of Science from Department of Mathematics, Bharathidasan
University in 1986, and Master of Computer Applications
Degree from Madurai Kamaraj University, India
in 2001. He got his Ph. D. Degree from Mathematics
department, Gandhigram Rural Institute-Deemed
University in 1999. Currently he is working as
Reader in Mathematics Department, Gandhigram Rural
Institute-Deemed University, and his experience
started from 1988; His area of interests includes
medical image processing, artificial intelligence,
neural network, and fuzzy logic. |
 |
KARNAN
MARCUS, received the Master of
Computer Science and Engineering Degree from Computer
Science and Engineering Department, from Government
College of Engineering, Manonmaniam Sundaranar
University, Tamil Nadu, India, in 2000. Currently
he is working as Assistant Professor, Department
of Computer Science & Engineering Department,
RVS College of Engineering & Technology, Tamil
Nadu, India. And doing part-time research in the
Department of computer Science and Applications,
Gandhigram Rural Institute-Deemed University,
Tamil Nadu, India. His area of interests includes
medical image processing, artificial intelligence,
neural network, genetic algorithm, pattern recognition
and fuzzy logic. |
 |
SIVA
KUMAR RAMAKRISHNAN,. Received
the Master of Computer Science and Engineering
Degree from Computer Science and Engineering Department,
from Government College of Engineering, Manonmaniam
Sundaranar University, Tamil Nadu, India, in 2000.
Currently he is working as Assistant Professor,
Department of Computer Science & Engineering,
RVS College of Engineering & Technology, Tamil
Nadu, India. His area of interests includes medical
image processing, artificial intelligence, neural
network, and fuzzy logic. |
 |
KAJA
MOHIDEEN ABUBAKKER, received the
Master of Computer Applications Degree from Computer
Science Department, Bharathidasan University,
Tamil Nadu, India, in 2000. Currently he is working
as Research Assistant, in Department of Computer
Science & Engineering RVS College of Engineering
& Technology, Tamil Nadu, India. His area
of interests includes medical image processing,
artificial intelligence, and neural network. |
|
 |
The following author designated as corresponding
author:
Karnan Marcus,
E-mail id: karnanme@yahoo.com, rsk_siva@mailcity.com,
ktvel@rediffmail.com
Postal Address: 153, Palayam, Palani, Dindigul
Dt, Tamil Nadu, India – 624601.
Fax.No:91-4551-227229,91-4551-227230,
Telephone.No:91-4551-227229,91-4551-2272.
|
BibTex:
AUTHOR = {K.Thangavel and M.Karnan
and R.Sivakumar and A. Kaja Mohideen},
TITLE = {Automatic
Detection of Microcalcification in Mammograms
– A Review},
JOURNAL = {ICGST International Journal on Graphics,
Vision and Image Processing, GVIP},
YEAR = {2005},
VOLUME = {V5},
ISSUE={5}
}
( Full
paper, 1.00 MB)
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