This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

This survey gives an overview over different techniques used for pixel-level semantic
segmentation. Metrics and datasets for the evaluation of segmentation algorithms and …

We propose a methodology that incorporates k-means and improved watershed
segmentation algorithm for medical image segmentation. The use of the conventional …

Recent state-of-the-art image segmentation algorithms are mostly based on deep neural
networks, thanks to their high performance and fast computation time. However, these …

Three-dimensional (3-D) imaging of the heart is a rapidly developing area of research in
medical imaging. Advances in hardware and methods for fast spatio-temporal cardiac …

The purpose of this study is to develop an intelligent remote detection and diagnosis system
for breast cancer based on cytological images. First, this paper presents a fully automated …

Image processing is an active research area in which medical image processing is a highly
challenging field. Medical imaging techniques are used to image the inner portions of the …

Bioelectronics presents a promising future in the field of embedded and implantable
electronics, providing a range of functional applications, from personal health monitoring to …