Mitosis Detection in Breast Cancer Histological Images with Mathematical Morphology

被引：0

作者：

Aptoula, Erchan ^{[1
]}

Courty, Nicolas ^{[2
]}

Lefevre, Sebastien ^{[2
]}

机构：

[1] Okan Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey

[2] South Britanny Univ, Bilgisayar Muhendisligi Bolumu, Vannes, France

来源：

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年

关键词：

Mathematical morphology; watershed transform; texture description; circular covariance histogram;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One of the most important outcome predictors of malignant tumors is the mitotic count, i.e. the division speed of cells. This value is computed from the patient's tissue samples by medical experts, that count each mitosis case one by one under a microscope, and as such it is a time consuming process. In order to accelerate it, we present in this paper a system capable of mitosis detection from histological breast cancer images. To this end we have developed a fully automatic solution based on mathematical morphology. The proposed approach has achieved the 10th best performance among 14 teams at the international mitosis detection contest organized by ICPR' 12.

引用

页数：4

共 50 条

[31] MATHEMATICAL MORPHOLOGY AND IMAGES
SERRA, J
RECHERCHE, 1983, 14 (144): : 722 - +
[32] Mitosis Detection from Breast Histopathology Images using Mask RCNN
Taskeen, Aamina
Jothi, J. Angel Arul
Kanadath, Anusree
2024 IEEE INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES, ICASET 2024, 2024,
[33] Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images
Hamidinekoo, Azam
Zwiggelaar, Reyer
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, 2017, 10553 : 213 - 221
[34] Automated Diagnosis of Breast Cancer based on Histological Images
Gongas, Laura
Maria Moreno, Ana
Maria Bravo, Laura
2018 IX INTERNATIONAL SEMINAR OF BIOMEDICAL ENGINEERING (SIB), 2018,
[35] Detection of cancer in breast thermograms using mathematical threshold based segmentation and morphology technique
Kumod Kumar Gupta
Pallavi Rituvijay
Shivani Pahadiya
International Journal of System Assurance Engineering and Management, 2022, 13 : 421 - 428
[36] Detection of cancer in breast thermograms using mathematical threshold based segmentation and morphology technique
Gupta, Kumod Kumar
Rituvijay
Pahadiya, Pallavi
Saxena, Shivani
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, 13 (01) : 421 - 428
[37] Segmentation of Cytological and Histological Images of Breast Cancer Cells
Berersky, Oleg
Batko, Yuriy
Melnyk, Grigoriy
Verbovyy, Sergiy
Haida, Lilia
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOLS 1-2, 2015, : 287 - 292
[38] Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images
Roullier, Vincent
Lezoray, Olivier
Ta, Vinh-Thong
Elmoatazi, Abderrahim
ADVANCES IN VISUAL COMPUTING, PT I, 2010, 6453 : 539 - +
[39] Computer-aided Prognosis of Neuroblastoma: Detection of Mitosis and Karyorrhexis Cells in Digitized Histological Images
Sertel, Olcay
Catalyurek, Umit V.
Shimada, Hiroyuki
Gurcan, Metin N.
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 1433 - +
[40] Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images
Sayed, Gehad Ismail
Hassanien, Aboul Ella
APPLIED INTELLIGENCE, 2017, 47 (02) : 397 - 408

← 1 2 3 4 5 →