[Apologies if you receive multiple copies of this message]
====================================
Special Issue "Simulation, Imaging and Modelling for Biomedical Systems"
Deadline for manuscript submissions: 15 December 2019
Guest Editor:
Dr. Elena Casiraghi and Dr. Barbara Barricelli
Department of Computer Science; Università degli Studi di Milano, Italy
Website: https://www.mdpi.com/journal/computers/special_issues/SIM_BS
=====================================
Dear Colleagues,

Over the past decades, a continuous increase in computational power,
together with substantial advances in the digital image processing and
pattern recognition fields, has motivated the development of
computer-aided diagnostic (CAD) systems, augmented and virtual reality
applications for surgical planning and simulation, and digital-twin
applications for healthcare. Thanks to their effective, precise, and
repeatable results, validated CAD systems are nowadays exploited as a
valid aid during diagnostic procedures. Surgical simulation applications
have become an essential part of surgical procedures as well as
training, while research on the development of digital-twin applications
in healthcare is continuously increasing, to deliver significant
societal and health benefits.

Similar important advances in the field of microscopy image analysis
have been motivated by the advent of digital microscopes producing
high-resolution digital images. Indeed, in the past thirty years the
development of computerized systems that have helped pathologists in
their analysis of images obtained by fluorescence, histochemical, and
immunohistochemical labeling has become a main research focus for
computer scientists and clinicians. State-of-the-art automatic
microscopy image analysis systems automatically identify biological
structures of interest and then try to reproduce the evaluation and
quantification performed by expert pathologists and clinicians. These
tools are much appreciated in the field for their potential to minimize
the inherent subjectivity of manual analysis and to largely reduce the
workload of clinicians via high-throughput analysis.

This Special Issue intends to provide a comprehensive overview of
recent, theoretical, and/or practical advances and new trends in
biomedical/microscopy image enhancement and analysis, vision modelling,
and general physiological models applied to biomedical/microscopy image
processing and advanced visualization methods and devices, and to
discuss their applications in the biological and medical fields.

Keywords:

    BioMedical/microscopy image enhancement
    Biomedical/microscopy image quality assessment
    Biomedical/microscopy image analysis
    Computational approaches for citology and histology
    Computer-aided diagnosis
    Neuro imaging
    BioMedical/microscopy image databases
    Machine learning and artificial intelligence
    Image segmentation, registration, and fusion
    Interventional imaging systems
    Image-guided interventions and surgery
    Surgical and interventional simulation systems
    Interventional tracking and navigation
    Surgical planning and simulation
    Surgical visualization and mixed, augmented and virtual reality
    Digital twins and end-user development in biomedicine
    Interventional software and user interfaces
    Physiological models


Dr. Elena Casiraghi
Dr. Barbara Barricelli
Guest Editors

--
Mr. Blink Yu
Managing Editor
E-Mail: blink...@mdpi.com
Skype: live:c91693ac8277e1f0
--
MDPI Wuhan Office
No.6 Jingan Road, 430064 Wuhan, China

MDPI
Postfach, CH-4020 Basel, Switzerland
http://www.mdpi.com
--
Disclaimer: MDPI recognizes the importance of data privacy and
protection. We treat personal data in line with the General Data
Protection Regulation (GDPR) and with what the community expects of us.
The information contained in this message is confidential and intended
solely for the use of the individual or entity to whom they are
addressed. If you have received this message in error, please notify me
and delete this message from your system. You may not copy this message
in its entirety or in part, or disclose its contents to anyone.


_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

Reply via email to