Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss different types of clinical and nonclinical features that are used to study and analyze the differences between benign and malignant ovarian tumors. Computer aided diagnostic (CAD) systems of high accuracy are being developed as an initial test for ovarian tumor classification instead of biopsy, which is the current gold standard diagnostic test. We also discuss different aspects of developing a reliable CAD system for the automated classification of ovarian cancer into benign and malignant types. A brief description of the commonly used classifiers in ultrasound-based CAD systems is also given
Objective To assess the accuracy and reproducibility of ultrasound 'pattern recognition' for the dia...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Image mining a...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. _Preoperative ...
Abstract: In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Image mining a...
In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that uses 3D ac...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Preoperative d...
Gynecological ultrasound is one of the most accurate imaging technique in clinical practice. It is c...
Ovarian cancer, the fifth most common cause of cancer death among women, has the highest mortality r...
Abstract OBJECTIVES: To prospectively assess an innovative computer-aided diagnostic technology that...
Objective To assess the accuracy and reproducibility of ultrasound 'pattern recognition' for the dia...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss differ...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Image mining a...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. _Preoperative ...
Abstract: In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Image mining a...
In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that uses 3D ac...
Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Preoperative d...
Gynecological ultrasound is one of the most accurate imaging technique in clinical practice. It is c...
Ovarian cancer, the fifth most common cause of cancer death among women, has the highest mortality r...
Abstract OBJECTIVES: To prospectively assess an innovative computer-aided diagnostic technology that...
Objective To assess the accuracy and reproducibility of ultrasound 'pattern recognition' for the dia...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...
Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to...