Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network
Accurate breast and tumor segmentations from dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) is vital in breast disease diagnosis. Here, we propose a …
resonance imaging (DCE-MRI) is vital in breast disease diagnosis. Here, we propose a …
A hybrid method based on fuzzy clustering and local region-based level set for segmentation of inhomogeneous medical images
M Rastgarpour, J Shanbehzadeh… - Journal of medical …, 2014 - Springer
Abstract medical images are more affected by intensity inhomogeneity rather than noise and
outliers. This has a great impact on the efficiency of region-based image segmentation …
outliers. This has a great impact on the efficiency of region-based image segmentation …
An active learning algorithm based on Shannon entropy for constraint-based clustering
DW Chen, YH Jin - IEEE Access, 2020 - ieeexplore.ieee.org
Pairwise constraints could enhance clustering performance in constraint-based clustering
problems, especially when these pairwise constraints are informative. In this paper, a novel …
problems, especially when these pairwise constraints are informative. In this paper, a novel …
Brain MR image segmentation with spatial constrained k-mean algorithm and dual-tree complex wavelet transform
J Zhang, W Jiang, R Wang, L Wang - Journal of medical systems, 2014 - Springer
In brain MR images, the noise and low-contrast significantly deteriorate the segmentation
results. In this paper, we propose an automatic unsupervised segmentation method …
results. In this paper, we propose an automatic unsupervised segmentation method …
Automatic seeded selection region growing algorithm for effective MRI brain image segmentation and classification
J Chidadala, SN Maganty, N Prakash - ICICCT 2019–System Reliability …, 2020 - Springer
In this paper we proposed automatic seeded point selection region growing algorithm along
with clustering technique to solve MRI image segmentation problems more accurately. The …
with clustering technique to solve MRI image segmentation problems more accurately. The …
Segmentation for brain magnetic resonance images using dual‐tree complex wavelet transform and spatial constrained self‐organizing tree map
J Zhang, W Jiang - International journal of imaging systems and …, 2014 - Wiley Online Library
In brain MR images, the noise and low‐contrast significantly deteriorate the segmentation
results. In this paper, we introduce a novel application of dual‐tree complex wavelet …
results. In this paper, we introduce a novel application of dual‐tree complex wavelet …
[图书][B] The use of textural kinetic habitats to mine diagnostic information from DCE MR images of breast tumors
B Chaudhury - 2015 - search.proquest.com
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of the breast is a
widely used non-invasive approach to gather information about the underlying physiology of …
widely used non-invasive approach to gather information about the underlying physiology of …
Automatic segmentation of subcutaneous mouse tumors by multiparametric MR analysis based on endogenous contrast
SJCG Hectors, I Jacobs, GJ Strijkers… - … Resonance Materials in …, 2015 - Springer
Object Contrast-enhanced T 1-weighted imaging is usually included in MRI procedures for
automatic tumor segmentation. Use of an MR contrast agent may not be appropriate for …
automatic tumor segmentation. Use of an MR contrast agent may not be appropriate for …
Estudio y validación de técnicas de inteligencia artificial aplicadas al análisis de imágenes médicas. Desarrollo de un CAD para la detección de nódulos pulmonares
A Rey López - 2015 - ruc.udc.es
La detección de nódulos pulmonares es una de las áreas más estudiadas y que más
atención recibe dentro del campo del análisis de imagen médica. Los principales factores …
atención recibe dentro del campo del análisis de imagen médica. Los principales factores …
[PDF][PDF] Interactive 3D GPU-Based Breast Mass Lesion Segmentation Method Based on Level Sets for Dce-MRI Images
Z Romero, S Olmo - 2015 - diginole.lib.fsu.edu
A new method for the segmentation of 3D breast lesions in dynamic contrast enhanced
magnetic resonance imaging (DCE-MRI) images, using parallel programming with general …
magnetic resonance imaging (DCE-MRI) images, using parallel programming with general …