Purpose Breast cancer is the most common form of cancer among women worldwide.
Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify …

Objectives Artificial intelligence (AI) has been an important addition to medicine. We aimed
to explore the use of deep learning (DL) to distinguish benign from malignant lesions with …

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of
approaches to image analysis. These three types of sets and their various hybridizations …

OBJECTIVE: This study investigated the clinical utility of an automated breast volume
scanner (ABVS) system for the detection of breast lesions. METHODS: The breasts of 81 …

Objective To compare the efficacy of automated breast volume scanning (ABVS) with that of
conventional ultrasonography in the detection of breast cancer lesions. Methods In a …

Breast ultrasonography is currently considered the first-line examination in the diagnosis of
breast lesions or other abnormalities. Many automated breast cancer diagnosis methods …

In this paper, we present a novel computer-aided diagnostic (CAD) system based on the
Breast Imaging Reporting and Data System (BI-RADS) terminology scores of screening …

This paper brielyfly outlines the basic concepts of computer-aided detection/diagnosis
(CAD), including some fundamental techniques used in CAD system. Commercial CAD …

Purpose: Breast tissue composition is considered to be associated with breast cancer risk.
This study aimed to develop a computer‐aided classification (CAC) system to automatically …

Purpose To analyze BE on ABUS using BI‐RADS and a modified classification in
association with mammographic density and clinical features. Methods Menopausal status …