Medical image fusion: A survey of the state of the art

AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …

Reviewing ensemble classification methods in breast cancer

M Hosni, I Abnane, A Idri, JMC de Gea… - Computer methods and …, 2019 - Elsevier
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications

A Dogra, B Goyal, S Agrawal - IEEE access, 2017 - ieeexplore.ieee.org
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

Information fusion in the realm of medical applications-A bibliographic glimpse at its growing appeal

BV Dasarathy - Information Fusion, 2012 - dl.acm.org
Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its
growing appeal: Information Fusion: Vol 13, No 1 skip to main content ACM Digital Library home …

Diagnostic support for selected paediatric pulmonary diseases using answer-pattern recognition in questionnaires based on combined data mining applications—a …

AK Rother, N Schwerk, F Brinkmann, F Klawonn… - PLoS …, 2015 - journals.plos.org
Background Clinical symptoms in children with pulmonary diseases are frequently non-
specific. Rare diseases such as primary ciliary dyskinesia (PCD), cystic fibrosis (CF) or …

A review of feature and data fusion with medical images

AP James, B Dasarathy - arXiv preprint arXiv:1506.00097, 2015 - api.taylorfrancis.com
The fusion techniques that utilize multiple feature sets to form new features that are often
more robust and contain useful information for future processing are referred to as feature …

Data fusion for multi-lesion diabetic retinopathy detection

HF Jelinek, R Pires, R Padilha… - 2012 25th IEEE …, 2012 - ieeexplore.ieee.org
Screening of Diabetic Retinopathy (DR) with timely treatment prevents blindness. Several
researchers have focused their work on the development of computer-aided lesion-specific …

A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases

L Ma, X Liu, L Song, Y Liu, C Zhou… - Medical Imaging …, 2014 - spiedigitallibrary.org
Common CT Imaging Signs of Lung Diseases (CISL) are defined as the imaging signs that
frequently appear in lung CT images from patients and play important roles in the diagnosis …

Design, fabrication, and characterization of piezoresisitve strain gage-based pressure sensors for mechatronic systems

SW Ham, KB Kim, JW Kim, NK Min… - … , Signals and their …, 2015 - ieeexplore.ieee.org
The pressure sensor is a key device in many mechatronic systems for automotive and
industrial applications. We represent the piezoresitive pressure sensor based on the single …

[PDF][PDF] A survey on multimodal medical image fusion

H Devanna, GAE Satish Kumar… - IOSR J. Comput. Eng …, 2017 - academia.edu
Multimodal medical image fusion (MIF) is a method ofextracting complementary information
fromdifferent sourceimages and combining them into a resultant image. Theintegration of …