Automatic segmentation of cervical region in colposcopic images using K-means

Acetowhite region segmentation in uterine cervix images using a registered ratio image

(2018) Jun Liu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Cancer statistics in China, 2015

(2016) Wanqing Chen et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Cervical Cancer Survivorship: Long-term Quality of Life and Social Support

(2015) Krista S. Pfaendler et al.   CLINICAL THERAPEUTICS

Implications for dosimetric changes when introducing MR-guided brachytherapy for small volume cervix cancer: a comparison of CT and MR-based treatments in a single centre

(2014) Claire Dempsey et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Image Inpainting : Overview and Recent Advances

(2013) Christine Guillemot et al.   IEEE SIGNAL PROCESSING MAGAZINE

Colposcopic triage methods for detecting cervical intraepithelial neoplasia grade 3 after cytopathological diagnosis of low-grade squamous intraepithelial lesion: a systematic review on diagnostic tests

(2012) Flávia de Miranda Corrêa et al.   Sao Paulo Medical Journal

Enhanced moving K-means (EMKM) algorithm for image segmentation

(2011) Fasahat Siddiqui et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

Domain-Specific Image Analysis for Cervical Neoplasia Detection Based on Conditional Random Fields

(2011) S Y Park et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An adaptive region based color texture segmentation using fuzzified distance metric

(2010) G. Uma Maheswari et al.   APPLIED SOFT COMPUTING

Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage

(2009) Hugo Proença et al.   IMAGE AND VISION COMPUTING