Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …
rate is correlated with several explanations; the main one is the late disease stage at which …
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
Towards interpretable imaging genomics analysis: Methodological developments and applications
X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2024 - Elsevier
Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …
Artificial intelligence and radiation effects on brain tissue in glioblastoma patient: Preliminary data using a quantitative tool
Purpose The quantification of radiotherapy (RT)-induced functional and morphological brain
alterations is fundamental to guide therapeutic decisions in patients with brain tumors. The …
alterations is fundamental to guide therapeutic decisions in patients with brain tumors. The …
Radiomics for the noninvasive prediction of the BRAF mutation status in patients with melanoma brain metastases
AK Meißner, R Gutsche, N Galldiks, M Kocher… - Neuro …, 2022 - academic.oup.com
Abstract Background The BRAF V600E mutation is present in approximately 50% of patients
with melanoma brain metastases and an important prerequisite for response to targeted …
with melanoma brain metastases and an important prerequisite for response to targeted …
Context-aware saliency guided radiomics: Application to prediction of outcome and HPV-status from multi-center PET/CT images of head and neck cancer
Simple Summary This study investigated the ability of context-aware saliency-guided
PET/CT radiomics in the prediction of outcome and HPV status for head and neck cancer. In …
PET/CT radiomics in the prediction of outcome and HPV status for head and neck cancer. In …
Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns
Background Translation of predictive and prognostic image‐based learning models to
clinical applications is challenging due in part to their lack of interpretability. Some deep …
clinical applications is challenging due in part to their lack of interpretability. Some deep …
Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
In this narrative review, we reported un up-to-date on the role of radiomics to assess
prognostic features, which can impact on the liver metastases patient treatment choice. In …
prognostic features, which can impact on the liver metastases patient treatment choice. In …
A radiomics nomogram prediction for survival of patients with “driver gene-negative” lung adenocarcinomas (LUAD)
Background To study the role of computed tomography (CT)-derived radiomics features and
clinical characteristics on the prognosis of “driver gene-negative” lung adenocarcinoma …
clinical characteristics on the prognosis of “driver gene-negative” lung adenocarcinoma …