[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art
With the development of functional imaging modalities we now have the ability to study the
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer
Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
Robust radiomics feature quantification using semiautomatic volumetric segmentation
Due to advances in the acquisition and analysis of medical imaging, it is currently possible
to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by …
to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by …
[HTML][HTML] Radiomics in breast imaging from techniques to clinical applications: a review
Recent advances in computer technology have generated a new area of research known as
radiomics. Radiomics is defined as the high throughput extraction and analysis of …
radiomics. Radiomics is defined as the high throughput extraction and analysis of …
MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability
Radiomics is an emerging field using the extraction of quantitative features from medical
images for tissue characterization. While MRI-based radiomics is still at an early stage, it …
images for tissue characterization. While MRI-based radiomics is still at an early stage, it …
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
The process of creating virtual models of dentomaxillofacial structures through three-
dimensional segmentation is a crucial component of most digital dental workflows. This …
dimensional segmentation is a crucial component of most digital dental workflows. This …
Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI
Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …
[HTML][HTML] New imaging techniques for liver diseases
BE Van Beers, JL Daire, P Garteiser - Journal of hepatology, 2015 - Elsevier
Newly developed or advanced methods of ultrasonography and MR imaging provide
combined anatomical and quantitative functional information about diffuse and focal liver …
combined anatomical and quantitative functional information about diffuse and focal liver …
Radiomics: data mining using quantitative medical image features
Radiomics uses multiple image features from medical imaging data to predict clinical
variables. Various features can be constructed to describe the properties of the full image, or …
variables. Various features can be constructed to describe the properties of the full image, or …