A survey of decision fusion and feature fusion strategies for pattern classification
For any pattern classification task, an increase in data size, number of classes, dimension of
the feature space, and interclass separability affect the performance of any classifier. A …
the feature space, and interclass separability affect the performance of any classifier. A …
Analysis of kidney ultrasound images using deep learning and machine learning techniques: A review
M George, HB Anita - … Computing and Social Networking: Proceedings of …, 2022 - Springer
Ultrasonography is the most accepted and widely used imaging technique due to its non-
invasive and radiation-free nature. The heterogeneous structure of kidney makes the …
invasive and radiation-free nature. The heterogeneous structure of kidney makes the …
Massively parallel feature selection: an approach based on variance preservation
Advances in computer technologies have enabled corporations to accumulate data at an
unprecedented speed. Large-scale business data might contain billions of observations and …
unprecedented speed. Large-scale business data might contain billions of observations and …
Deep learning-based methodology for recognition of fetal brain standard scan planes in 2D ultrasound images
R Qu, G Xu, C Ding, W Jia, M Sun - Ieee Access, 2019 - ieeexplore.ieee.org
Two-dimensional ultrasound scanning (US) has become a highly recommended
examination in prenatal diagnosis in many countries. Accurate detection of abnormalities …
examination in prenatal diagnosis in many countries. Accurate detection of abnormalities …
Automatic brain hemorrhage segmentation and classification in CT scan images
B Shahangian, H Pourghassem - 2013 8th Iranian Conference …, 2013 - ieeexplore.ieee.org
Brain hemorrhage detection and classification is a major help to physicians to rescue
patients in an early stage. In this paper, we have tried to introduce an automatic detection …
patients in an early stage. In this paper, we have tried to introduce an automatic detection …
Kidney stone detection using digital image processing techniques
MB Suresh, MR Abhishek - 2021 Third International …, 2021 - ieeexplore.ieee.org
The Kidney stones are a hard collection of salt and minerals, often calcium and uric acid that
form in the kidneys. The majority of persons with kidney stones do not recognize them at first …
form in the kidneys. The majority of persons with kidney stones do not recognize them at first …
Medical X-ray images classification based on shape features and Bayesian rule
NJ Fesharaki, H Pourghassem - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
The most important stage of search and content retrieval systems of medical images is
image classification. The purpose of classification is execution of a process in which a …
image classification. The purpose of classification is execution of a process in which a …
Abnormalities detection in serial computed tomography brain images using multi-level segmentation approach
Segmentation, where pixels are categorized by tissue types, is essential in medical image
processing. This paper proposes a multi-level Fuzzy C-Means method to extract an …
processing. This paper proposes a multi-level Fuzzy C-Means method to extract an …
Detection of kidney stone using digital image processing: a holistic approach
This study presents an ultrasound speckle suppression method to detect the stones in the
human kidney. An initial image is first improved using image enhancement techniques …
human kidney. An initial image is first improved using image enhancement techniques …
Distributed Decision Fusion for Large Scale IoT-Ecosystem
IoT data analytics have numerous applications that generate huge data to gain new insights
and information. How-ever, this work remains challenging due to the heterogeneity of IoT …
and information. How-ever, this work remains challenging due to the heterogeneity of IoT …