This paper presents an effective solution for content-based retrieval and classification of
ultrasound medical images representing three types of ovarian cysts: Simple Cyst …

This paper presents a combined method of content-based retrieval and classification of
ultrasound medical images representing three types of ovarian cysts: Simple Cyst …

Although feature selection has been proven to be very effective in machine learning and
pattern classification applications, it has not been widely practiced in the area of image …

Today ovarian cancer is second most perilous cause of cancer deaths in women after breast
cancer. In this work, we have developed system which acquires ultrasound images and …

Significant successes in machine learning approaches to image analysis for various
applications have energized strong interest in automated diagnostic support systems for …

In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique
that uses 3D acquired ultrasound images of the ovary and data mining algorithms to …

Ultrasound imaging has found its own place in medical applications as an effective
diagnostic tool. Ultrasonic diagnostics has made possible the detection of cysts, tumors or …

Among gynecological malignancies, ovarian cancer is the most frequent cause of death.
Image mining algorithms have been predominantly used to give the physicians a more …

An efficient, integrated image textural analysis and classification of transrectal prostate
ultrasound images into clusters potentially representing cancerous or normal tissue areas is …

Among gynecological malignancies, ovarian cancer is the most frequent cause of death.
Preoperative determination of whether a tumor is benign or malignant has often been found …