AI in medical imaging informatics: current challenges and future directions

AS Panayides, A Amini, ND Filipovic… - IEEE journal of …, 2020 - ieeexplore.ieee.org
This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Deep learning in ophthalmology: a review

PS Grewal, F Oloumi, U Rubin, MTS Tennant - Canadian Journal of …, 2018 - Elsevier
Deep learning is an emerging technology with numerous potential applications in
Ophthalmology. Deep learning tools have been applied to different diagnostic modalities …

[LLIBRE][B] The image processing handbook

JC Russ - 2006 - taylorfrancis.com
Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

[LLIBRE][B] Biosignal and medical image processing

JL Semmlow - 2008 - taylorfrancis.com
Relying heavily on MATLAB problems and examples, as well as simulated data, this
text/reference surveys a vast array of signal and image processing tools for biomedical …

An approach to localize the retinal blood vessels using bit planes and centerline detection

MM Fraz, SA Barman, P Remagnino, A Hoppe… - Computer methods and …, 2012 - Elsevier
The change in morphology, diameter, branching pattern or tortuosity of retinal blood vessels
is an important indicator of various clinical disorders of the eye and the body. This paper …

[LLIBRE][B] Digital image processing and analysis: human and computer vision applications with CVIPtools

SE Umbaugh - 2010 - books.google.com
Whether for computer evaluation of otherworldly terrain or the latest high definition 3D
blockbuster, digital image processing involves the acquisition, analysis, and processing of …

[LLIBRE][B] Understanding digital image processing

V Tyagi - 2018 - taylorfrancis.com
This book introduces the fundamental concepts of modern digital image processing. It aims
to help the students, scientists, and practitioners to understand the concepts through clear …

A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs

RM Rangayyan, FJ Ayres, JEL Desautels - Journal of the Franklin Institute, 2007 - Elsevier
Mammography is the best available tool for screening for the early detection of breast
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …

Adaptive and compressive beamforming using deep learning for medical ultrasound

S Khan, J Huh, JC Ye - IEEE transactions on ultrasonics …, 2020 - ieeexplore.ieee.org
In ultrasound (US) imaging, various types of adaptive beamforming techniques have been
investigated to improve the resolution and the contrast-to-noise ratio of the delay and sum …

Efficient B-mode ultrasound image reconstruction from sub-sampled RF data using deep learning

YH Yoon, S Khan, J Huh, JC Ye - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
In portable, 3-D, and ultra-fast ultrasound imaging systems, there is an increasing demand
for the reconstruction of high-quality images from a limited number of radio-frequency (RF) …