[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …
discipline that maps digital medical images into quantitative data, with the end goal of …
Radiomics: the process and the challenges
“Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative
imaging features with high throughput from medical images obtained with computed …
imaging features with high throughput from medical images obtained with computed …
Validation of a method to compensate multicenter effects affecting CT radiomics
Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …
accurately than visual assessment. However, radiomics features are affected by CT scanner …
The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
[HTML][HTML] Computer-assisted decision support system in pulmonary cancer detection and stage classification on CT images
Pulmonary cancer is considered as one of the major causes of death worldwide. For the
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer
No predictive biomarkers can robustly identify patients with non–small cell lung cancer
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …
[HTML][HTML] Repeatability and reproducibility study of radiomic features on a phantom and human cohort
The repeatability and reproducibility of radiomic features extracted from CT scans need to be
investigated to evaluate the temporal stability of imaging features with respect to a controlled …
investigated to evaluate the temporal stability of imaging features with respect to a controlled …
Reproducibility and prognosis of quantitative features extracted from CT images
Y Balagurunathan, Y Gu, H Wang, V Kumar… - Translational …, 2014 - Elsevier
We study the reproducibility of quantitative imaging features that are used to describe tumor
shape, size, texture from computed tomography (CT) scans of non-small cell lung cancer …
shape, size, texture from computed tomography (CT) scans of non-small cell lung cancer …
Parallel deep learning algorithms with hybrid attention mechanism for image segmentation of lung tumors
H Hu, Q Li, Y Zhao, Y Zhang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
At present, medical images have played a more and more important role in clinical
treatment. Lung images provide an important reference for doctors to make a diagnosis …
treatment. Lung images provide an important reference for doctors to make a diagnosis …
Test–retest data for radiomics feature stability analysis: generalizable or study-specific?
Radiomics is an objective method for extracting quantitative information from medical
images. However, in radiomics, standardization, overfitting, and generalization are major …
images. However, in radiomics, standardization, overfitting, and generalization are major …