Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Challenges With the Diagnosis and Treatment of Cerebral Radiation Necrosis

(2013) Samuel T. Chao et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Texture analysis of ultrahigh field T2*-weighted MR images of the brain: Application to Huntington's disease

(2013) Nhat Trung Doan et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Texture-based classification of liver fibrosis using MRI

(2013) Michael J. House et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

(2013) Adrien Depeursinge et al.   MEDICAL IMAGE ANALYSIS

Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies

(2013) Nishant Verma et al.   NEURO-ONCOLOGY

A survey of MRI-based medical image analysis for brain tumor studies

(2013) Stefan Bauer et al.   PHYSICS IN MEDICINE AND BIOLOGY

Differentiation of local tumor recurrence from radiation-induced changes after stereotactic radiosurgery for treatment of brain metastasis: case report and review of the literature

(2013) Philipp Kickingereder et al.   Radiation Oncology

Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images

(2012) Gautam Bahl et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Texture analysis in assessment and prediction of chemotherapy response in breast cancer

(2012) Arfan Ahmed et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Conventional MRI does not reliably distinguish radiation necrosis from tumor recurrence after stereotactic radiosurgery

(2012) Abigail L. Stockham et al.   JOURNAL OF NEURO-ONCOLOGY

Machine learning and radiology

(2012) Shijun Wang et al.   MEDICAL IMAGE ANALYSIS

Radiation Necrosis in the Brain: Imaging Features and Differentiation from Tumor Recurrence

(2012) Ritu Shah et al.   RADIOGRAPHICS

MR Spectroscopy Using Normalized and Non-normalized Metabolite Ratios for Differentiating Recurrent Brain Tumor from Radiation Injury

(2011) Augusto E. Elias et al.   ACADEMIC RADIOLOGY

A Comprehensive Review of MR Imaging Changes following Radiosurgery to 500 Brain Metastases

(2011) T.R. Patel et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Differentiation between intra-axial metastatic tumor progression and radiation injury following fractionated radiation therapy or stereotactic radiosurgery using MR spectroscopy, perfusion MR imaging or volume progression modeling

(2011) Jiayi Huang et al.   MAGNETIC RESONANCE IMAGING

Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

(2011) Carlton Chu et al.   NEUROIMAGE

Texture Analysis: A Review of Neurologic MR Imaging Applications

(2010) A. Kassner et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images

(2010) Jaber Juntu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging

(2010) Rajan Jain et al.   JOURNAL OF NEURO-ONCOLOGY

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

(2009) Evangelia I. Zacharaki et al.   MAGNETIC RESONANCE IN MEDICINE

MaZda—A software package for image texture analysis

(2008) Piotr M. Szczypiński et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Diagnostic Accuracy of 11C-Methionine PET for Differentiation of Recurrent Brain Tumors from Radiation Necrosis After Radiotherapy

(2008) Y. Terakawa et al.   JOURNAL OF NUCLEAR MEDICINE