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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
attention of medical doctors and researchers since variations in tissue volume and shape …