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Malignant and Pre_Malignant Cells Detection in Cervical Smears
Details
The proposed system "Cells Analysis System for Microscopic Pap Smear Images (CASMPSI)" gives techniques related to Pap smear microscopic image analysis. Some image processing techniques have been used to detect cell's nucleus area and the surrounding cytoplasm. The system was designed to extract each single nucleus belong to a cell individually, and in case of clustered cells (i.e., cancerous cells) the whole cluster area is extracted as one piece. Two kinds of features are proposed for cell classification they are geometrical and texture features. The common aim of all these techniques is to develop an automated Pap smear analysis system which can help cyto-technician to reduce time they spent for slide examination in Pap screening process.
Autorentext
My name Yusra A.Sroor, I have a master degree in Computer Science/Baghdad University in 2013, I work as a researcher in Ministry of Science and Technology.
Klappentext
The proposed system "Cells Analysis System for Microscopic Pap Smear Images (CASMPSI)" gives techniques related to Pap smear microscopic image analysis. Some image processing techniques have been used to detect cell's nucleus area and the surrounding cytoplasm. The system was designed to extract each single nucleus belong to a cell individually, and in case of clustered cells (i.e., cancerous cells) the whole cluster area is extracted as one piece. Two kinds of features are proposed for cell classification they are geometrical and texture features. The common aim of all these techniques is to develop an automated Pap smear analysis system which can help cyto-technician to reduce time they spent for slide examination in Pap screening process.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659185939
- Sprache Englisch
- Größe H220mm x B150mm x T9mm
- Jahr 2014
- EAN 9783659185939
- Format Kartonierter Einband
- ISBN 3659185930
- Veröffentlichung 17.03.2014
- Titel Malignant and Pre_Malignant Cells Detection in Cervical Smears
- Autor Yusra Abdul Razak Sroor Al-Samaraii
- Gewicht 221g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 136
- Genre Mathematik