Additional value of PET radiomic features for the initial staging of prostate cancer: a systematic review from the literature
P Guglielmo, F Marturano, A Bettinelli, M Gregianin… - Cancers, 2021 - mdpi.com
Simple Summary Prostate cancer (PCa) is one of the most frequent malignancies diagnosed
in men and its prognosis depends on the stage at diagnosis. Molecular imaging, namely …
in men and its prognosis depends on the stage at diagnosis. Molecular imaging, namely …
A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management
Radiomics analysis quantifies the interpolation of multiple and invisible molecular features
present in diagnostic and therapeutic images. Implementation of 18-fluorine …
present in diagnostic and therapeutic images. Implementation of 18-fluorine …
Matradiomics: A novel and complete radiomics framework, from image visualization to predictive model
Radiomics aims to support clinical decisions through its workflow, which is divided into:(i)
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …
Customized efficient neural network for COVID-19 infected region identification in CT images
Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …
to provide quantitative features from images. It is highly dependent on accurate identification …
Novel multiparametric magnetic resonance imaging-based deep learning and clinical parameter integration for the prediction of long-term biochemical recurrence-free …
Simple Summary Existing research on predicting biochemical recurrence after prostate
surgery has been insufficient. Here, we aimed to predict biochemical recurrence after radical …
surgery has been insufficient. Here, we aimed to predict biochemical recurrence after radical …
Phenotyping the histopathological subtypes of non-small-cell lung carcinoma: how beneficial is radiomics?
The aim of this study was to investigate the usefulness of radiomics in the absence of well-
defined standard guidelines. Specifically, we extracted radiomics features from multicenter …
defined standard guidelines. Specifically, we extracted radiomics features from multicenter …
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
There is a growing piece of evidence that artificial intelligence may be helpful in the entire
prostate cancer disease continuum. However, building machine learning algorithms robust …
prostate cancer disease continuum. However, building machine learning algorithms robust …
Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics
Abstract In healthcare industry 4.0, a big role is played by radiomics. Radiomics concerns
the extraction and analysis of quantitative information not visible to the naked eye, even by …
the extraction and analysis of quantitative information not visible to the naked eye, even by …
A combined radiomics and machine learning approach to distinguish clinically significant prostate lesions on a publicly available mri dataset
L Donisi, G Cesarelli, A Castaldo, DR De Lucia… - Journal of …, 2021 - mdpi.com
Although prostate cancer is one of the most common causes of mortality and morbidity in
advancing-age males, early diagnosis improves prognosis and modifies the therapy of …
advancing-age males, early diagnosis improves prognosis and modifies the therapy of …
Integration of deep learning and active shape models for more accurate prostate segmentation in 3d mr images
Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate
cancer. However, manual three-dimensional (3D) segmentation of the prostate is a …
cancer. However, manual three-dimensional (3D) segmentation of the prostate is a …