This work aims at automated segmentation of major lesions observed in early stages of cervical cancer which is the second most common cancer among women ...

Abstract- This work aims at automated segmentation of major lesions observed in early stages of cervical cancer which is the second most common cancer among ...

Automated image analysis provides quantitative description of lesions thus less subjective variability in monitoring of chronic lesions so that cervical ...

This work aims at automated segmentation of major lesions observed in early stages of cervical cancer which is the second most common cancer among women ...

Jun 1, 2006 · This work aims at automated segmentation of major lesions observed in early stages of uterine cervical cancer.

Abstract: This work aims at automated segmentation of major lesions observed in early stages of uterine cervical cancer. Automated segmentation.

Various texture analysis methods have been developed to analyze and classify various tissue patterns including liver lesions [3], [4], prostrate can- cerous ...

This paper presents a generalized statistical texture analysis technique for characterizing and recognizing typical, diagnostically most important, ...

This work aims at automated segmentation of major lesions observed in early stages of uterine cervical cancer. Automated segmentation reduces subjective ...

To enable indexing of images of the cervix, it is essential to develop algorithms for the segmentation of regions of interest, such as acetowhitened regions, ...