Faster image dendrogram creation: An efficient algorithm for the detection of tumours in digital mammography

被引：1

作者：

Mitchell, RA ^{[1
]}

Nguyen, HT ^{[1
]}

Thornton, BS ^{[1
]}

Hung, WT ^{[1
]}

Lee, W ^{[1
]}

Rickard, M ^{[1
]}

机构：

[1] Univ Technol Sydney, Key Univ Res Ctr Hlth Technol, Sydney, NSW 2007, Australia

来源：

PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷

关键词：

mammogram; dendrogram; segmentation;

D O I：

10.1109/IEMBS.2003.1279863

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Dendronic image analysis has been shown to provide a robust technique in the detection of tumours within digital mammograms. It provides the capability of fully automated image analysis through hierarchical segmentation. However, its general acceptance in image analysis has not been realised due to computational intensity in creating the image dendrogram. We have developed an efficient technique that can create image dendrograms a great deal faster than traditional repetitive segmentation algorithms, making dendronic analysis of digital mammograms a viable tool in the detection of breast cancer.

引用

页码：714 / 716

页数：3

共 50 条

[21] An Efficient Image Forgery and Region Detection Using LogDIoU-Faster RCNN
Latnekar, Urvi
SENSING AND IMAGING, 2023, 24 (01):
[22] An Efficient Image Forgery and Region Detection Using LogDIoU-Faster RCNN
Urvi Latnekar
Sensing and Imaging, 24
[23] Developing an Image Manipulation Detection Algorithm Based on Edge Detection and Faster R-CNN
Wei, Xiaoyan
Wu, Yirong
Dong, Fangmin
Zhang, Jun
Sun, Shuifa
SYMMETRY-BASEL, 2019, 11 (10):
[24] Image Study of Esophageal Cancer Based on Faster RCNN Target Detection Algorithm
Fang, Guoqing
Bai, Gengshen
Liu, Xiaohong
Yin, Jianguo
Jia, Pengju
Shi, Xinxia
Zhu, Junqiang
Lin, Zhiyan
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 68 - 69
[25] Image Quality, lesion detection, and diagnostic efficacy in digital mammography: Full-field digital mammography versus computed radiography-based mammography using digital storage phosphor plates
Schueller, Gerd
Riedl, Christopher C.
Mallek, Reinhold
Eibenberger, Klemens
Langenberger, Herbert
Kaindl, Elisabeth
Kulinna-Cosentini, Christiane
Rudas, Margaretha
Helbich, Thomas H.
EUROPEAN JOURNAL OF RADIOLOGY, 2008, 67 (03) : 487 - 496
[26] Comparison of Image Quality Criteria between Digital Storage Phosphor Plate in Mammography and Full-Field Digital Mammography in the Detection of Breast Cancer
Pushpa, Thevi Rajendran
Vijayalakshmi, Krishnapillai
Sulaiman, Tamanang
Kanaga, Kumari Chelliah
MALAYSIAN JOURNAL OF MEDICAL SCIENCES, 2012, 19 (01): : 52 - 59
[27] An Efficient Parallel Motion Estimation Algorithm for Digital Image Processing
Chen, Liang-Gee
Chen, Wai-Ting
Jehng, Yeu-Shen
Chiueh, Tzi-Dar
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1991, 1 (04) : 378 - 385
[28] An Efficient DCT - SVD based Algorithm for Digital Image Watermarking
Varghese, Justin
Subash, Saudia
Bin Hussain, Omer
Saadi, Mohamed Ramadan
Babu, Bijoy
Khan, Mohamed Samiulla
Basheer, Jamshid M.
2014 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST), 2014,
[29] An efficient blind detection algorithm of median filtered image
School of Computer Science and Software Engineering, Tianjin Polytechnic University, China
不详
Int. J. Hybrid Inf. Technol., 1 (181-192):
[30] Experiment of Image Processing Algorithm for Efficient Pothole Detection
Lee, Sung Won
Kim, SeokJin
Han, Jeong
An, Kwang Eun
Ryu, Seung-Ki
Seo, Dongmahn
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2019,

← 1 2 3 4 5 →