Purpose Breast cancer is the cancer with the highest incidence in women, and early
detection can effectively improve the survival rate of patients. Mammography is an important …

The uniqueness of fruits can be observed using the colors and shapes. The fruit recognition
process consists of 3 stages, namely feature extraction, clustering, and recognition. Each of …

Computer visual systems can rapidly obtain a large amount of data and automatically
process them with ease. These characteristics constitute advantages for the application of …

The traditional annotation-based medical image retrieval faces a problem with competence
and precision with the extensive medical image databases. Broad research has been …

Early diagnosis of breast cancer can improve the survival rate by detecting cancer at initial
stage. In this paper, an efficient content-based mammogram retrieval system is proposed …

Mass segmentation is one of the fundamental tasks used when identifying breast cancer due
to the comprehensive information it provides, including the location, size, and border of the …

Radiologists employ mammograms for the detection of breast cancer in patients, particularly
as breast cancer exhibits higher incidence rates in women. Early identification of breast …

Vietnam J. Comp. Sci. Downloaded from www. worldscientific. com by 2c0f: f698: 40c2:
d550: f5af: d792: 2a32: 1532 on 05/16/24. Re-use and distribution is strictly not permitted …

We present a framework to detect and retrieve CPR activity scenes from medical simulation
videos. Medical simulation is a modern training method for medical practitioners, where an …

Background: The advancement in convolutional neural network (CNN) has reduced the
burden of experts using the computer-aided diagnosis of human breast cancer. However …