Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which
are associated with shape features. In this study, we propose a fully automatic way to …
are associated with shape features. In this study, we propose a fully automatic way to …
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors
Purpose To review features used in MRI radiomics of breast cancer and study the inter‐
reader stability of the features. Methods We implemented 529 algorithmic features that can …
reader stability of the features. Methods We implemented 529 algorithmic features that can …
Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional …
Recent studies identified distinct genomic subtypes of lower-grade gliomas that could
potentially be used to guide patient treatment. This study aims to determine whether there is …
potentially be used to guide patient treatment. This study aims to determine whether there is …
Is mass classification in mammograms a solved problem?-a critical review over the last 20 years
RWD Pedro, A Machado-Lima, FLS Nunes - Expert Systems with …, 2019 - Elsevier
Breast cancer is one of the most common and deadliest cancers that affect mainly women
worldwide, and mammography examination is one of the main tools to help early detection …
worldwide, and mammography examination is one of the main tools to help early detection …
Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning
P Sanghani, BT Ang, NKK King, H Ren - Surgical oncology, 2018 - Elsevier
Glioblastoma multiforme (GBM) are aggressive brain tumors, which lead to poor overall
survival (OS) of patients. OS prediction of GBM patients provides useful information for …
survival (OS) of patients. OS prediction of GBM patients provides useful information for …
Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma
Objective: Radiomics pipelines have been developed to extract novel information from
radiological images, which may help in phenotypic profiling of tumours that would correlate …
radiological images, which may help in phenotypic profiling of tumours that would correlate …
Effects of MRI scanner parameters on breast cancer radiomics
Purpose To assess the impact of varying magnetic resonance imaging (MRI) scanner
parameters on the extraction of algorithmic features in breast MRI radiomics studies …
parameters on the extraction of algorithmic features in breast MRI radiomics studies …
Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer
B Verma, P McLeod, A Klevansky - Expert systems with applications, 2010 - Elsevier
The classification of benign and malignant patterns in digital mammograms is one of most
important and significant processes during the diagnosis of breast cancer as it helps …
important and significant processes during the diagnosis of breast cancer as it helps …
Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker
This study aimed to investigate the feasibility of integrating image features computed from
both spatial and frequency domain to better describe the tumor heterogeneity for precise …
both spatial and frequency domain to better describe the tumor heterogeneity for precise …
Mammogram retrieval on similar mass lesions
CH Wei, SY Chen, X Liu - Computer methods and programs in biomedicine, 2012 - Elsevier
Enormous numbers of digital mammograms have been produced in hospitals and breast
screening centers. To exploit those valuable resources in aiding diagnoses and research …
screening centers. To exploit those valuable resources in aiding diagnoses and research …