A Survey on Segmentation Techniques of Mammogram Images

被引：6

作者：

Ibachir, Ilhame Ait ^{[1
]}

Es-salhi, Rachida ^{[1
]}

Daoudi, Imane ^{[1
]}

Tallal, Saida ^{[1
]}

Medromi, Hicham ^{[1
]}

机构：

[1] Hassan II Univ, ENSEM, Syst Architecture, Casablanca, Morocco

来源：

ADVANCES IN UBIQUITOUS NETWORKING 2 | 2017年 / 397卷

关键词：

Mammogram images; Image segmentation; Region of interest ROI; Image analysis;

D O I：

10.1007/978-981-10-1627-1_43

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Mammogram images are important tools allowing visualization of various types of breast cancer. In fact, cancer detection refers to the extraction of region of interest ROI, which represents the tumor, in the mammogram image. In medical imaging field, Computer Aided Diagnosis systems (CAD) are used to analyze this type of images. To extract region of interest from mammograms, image segmentation methods have been wildly applied. These methods consist of partitioning the image on meaningful regions or segments easy to analyze. There are various techniques and methods of segmentation of mammogram images in the literature. In this paper, we present a survey of different approaches of segmentation that we compared theoretically in terms of advantages and drawbacks, particulary for mammogram images.

引用

页码：545 / 556

页数：12

共 50 条

[1] PERFORMANCE ANALYSIS OF VARIOUS SEGMENTATION TECHNIQUES IN BREAST MAMMOGRAM IMAGES
Sasikala, S.
Ezhilarasi, M.
Sudharsan, P.
Sivakumari, C. L. Yashwanthi
2014 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING APPLICATIONS (ICICA 2014), 2014, : 228 - 232
[2] Mammogram Segmentation Techniques: A Review
Justaniah, Eman
Alhothali, Areej
Aldabbagh, Ghadah
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (05) : 520 - 529
[3] Automatic Segmentation of Mammogram and Tomosynthesis Images
Sargent, Dusty
Park, Sun Young
MEDICAL IMAGING 2016: IMAGE PROCESSING, 2016, 9784
[4] A Survey of Kidney Segmentation Techniques in CT Images
Kaur, Ravinder
Juneja, Mamta
CURRENT MEDICAL IMAGING REVIEWS, 2018, 14 (02) : 238 - 250
[5] A new automated segmentation and classification of mammogram images
Rajeshwari S. Patil
Nagashettappa Biradar
Rashmi Pawar
Multimedia Tools and Applications, 2022, 81 : 7783 - 7816
[6] A new automated segmentation and classification of mammogram images
Patil, Rajeshwari S.
Biradar, Nagashettappa
Pawar, Rashmi
MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (06) : 7783 - 7816
[7] Segmentation Fusion Techniques with Application to Plenoptic Images: A Survey
Evin, D.
Hadad, A.
Solano, A.
Drozdowicz, B.
20TH ARGENTINEAN BIOENGINEERING SOCIETY CONGRESS (XX ARGENTINE BIOENGINEERING CONGRESS AND IX CONFERENCE OF CLINICAL ENGINEERING), (SABI 2015), 2016, 705
[8] An Algorithm for Pre-processing and Segmentation of Mammogram Images
Ibrahim, Naglaa S. Ali
Soliman, Naglaa F.
Abdallah, Mahmoud
Abd El-Samie, Fathi E.
PROCEEDINGS OF 2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING & SYSTEMS (ICCES), 2016, : 187 - 190
[9] Segmentation of Breast Cancer Lesion in Digitized Mammogram Images
Hassan, Shaymaa A.
Sayed, Mohammed S.
Farag, Fathi
2014 CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2014, : 103 - 106
[10] A Survey on Detection of Micro Calcification in Mammogram Images
Manikandan, M.
Surendar, P.
2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, INSTRUMENTATION AND COMMUNICATION ENGINEERING (ICEICE), 2017,

← 1 2 3 4 5 →