SEGMENTATION AND CLASSIFICATION OF CERVICAL CYTOLOGY IMAGES USING MORPHOLOGICAL AND STATISTICAL OPERATIONS
Cervical cancer that is a disease, in which malignant (cancer) cells form in the tissues of the cervix, is one of the fourth leading causes of cancer death in female community worldwide. The cervical cancer can be prevented and/or cured if it is diagnosed in the pre-cancerous lesion stage or earlier...
Main Authors: | S Anantha Sivaprakasam, E R Naganathan |
---|---|
Format: | Article |
Language: | English |
Published: |
ICT Academy of Tamil Nadu
2017-02-01
|
Series: | ICTACT Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=2915 |
Similar Items
-
Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review
by: Betelhem Zewdu Wubineh, et al.
Published: (2024-01-01) -
Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology
by: Mariangel Rodríguez, et al.
Published: (2024-11-01) -
Detection of Cervix Cancer from Pap-smear Images
by: Fatma Betül Akyol, et al.
Published: (2020-08-01) -
COMPARISON OF CONVENTIONAL PAP SMEAR AND LIQUID-BASED CYTOLOGY IN DETECTING CERVICAL ABNORMALITIES
by: Secerovic Djelila
Published: (2024-08-01) -
Diagnosis of Cervical Cancer Using Texture and Morphological Features in Pap Smear Images
by: Hamid Hosseinabadi, et al.
Published: (2020-09-01)