A survey of graph cuts/graph search based medical image segmentation

X Chen, L Pan - IEEE reviews in biomedical engineering, 2018 - ieeexplore.ieee.org
Medical image segmentation is a fundamental and challenging problem for analyzing
medical images. Among different existing medical image segmentation methods, graph …

Handling imbalanced medical image data: A deep-learning-based one-class classification approach

L Gao, L Zhang, C Liu, S Wu - Artificial intelligence in medicine, 2020 - Elsevier
In clinical settings, a lot of medical image datasets suffer from the imbalance problem which
hampers the detection of outliers (rare health care events), as most classification methods …

[图书][B] Virtual anthropology: a guide to a new interdisciplinary field

GW Weber, FL Bookstein - 2011 - Springer
This is the first textbook of Virtual Anthropology, the new science that combines elements
from fields as diverse as anthropology, medicine, statistics, computing, scientific …

A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints

J Wang, J Kong, Y Lu, M Qi, B Zhang - Computerized medical imaging and …, 2008 - Elsevier
Image segmentation is often required as a preliminary and indispensable stage in the
computer aided medical image process, particularly during the clinical analysis of magnetic …

[PDF][PDF] Medical image segmentation techniques: an overview

EA Zanaty, S Ghoniemy - … Journal of informatics and medical data …, 2016 - researchgate.net
Medical image segmentation provides rich information in clinical applications for supporting
the advancement in the biomedical knowledge and to guide surgery. This paper reviews the …

Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI

S Ahmed, KM Iftekharuddin… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Our previous works suggest that fractal texture feature is useful to detect pediatric brain
tumor in multimodal MRI. In this study, we systematically investigate efficacy of using several …

Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis

Q Huang, F Yang, L Liu, X Li - Information Sciences, 2015 - Elsevier
Breast cancer is one of the most commonly diagnosed cancer types among women.
Sonography has been regarded as an important imaging modality for diagnosis of breast …

Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach

MHF Zarandi, M Zarinbal, M Izadi - Applied soft computing, 2011 - Elsevier
This paper presents a systematic Type-II fuzzy expert system for diagnosing the human brain
tumors (Astrocytoma tumors) using T1-weighted Magnetic Resonance Images with contrast …

Image segmentation–a state-of-art survey for prediction

SA Raut, M Raghuvanshi… - … on advanced computer …, 2009 - ieeexplore.ieee.org
Image segmentation is a technique that partitioned the input image into prerequisite
semantic unique regions. Segmentation should stop as object of interest in an application is …

Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

J Bernal, K Kushibar, M Cabezas, S Valverde… - IEEE …, 2019 - ieeexplore.ieee.org
Accurate brain tissue segmentation in magnetic resonance imaging (MRI) has attracted the
attention of medical doctors and researchers since variations in tissue volume and shape …