Medical imaging techniques have widely been in use in the diagnosis and detection of
breast cancer. The drawback of applying these techniques is the large time consumption in …

This chapter proposes an IoT-based auxiliary diagnosis method for autism spectrum
disorder (ASD) that addresses the issue of label noise using label distribution learning …

Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …

Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …

Early detection and diagnosis are the key factors in decreasing the breast cancer mortality
rate in medical image analysis. A randomized learning technique called extreme learning …

Region of interest (ROI) is a region used to extract features. In breast ultrasound (BUS)
image, the ROI is a breast tumor region. Because of poor image quality (low SNR …

Ultrasound is the most widely used imaging modality for screening of breast tumors.
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …

Ultrasound imaging has become one of the most popular medical imaging modalities with
numerous diagnostic applications. However, ultrasound (US) image segmentation, which is …

New image processing techniques as well digital image capture equipment provide an
opportunity for fast detection and diagnosis of quality problems in manufacturing …

Purpose To evaluate the performance of a computer-aided diagnosis (CAD) workstation in
classifying cancer in a realistic data set representative of a clinical diagnostic breast …