[HTML][HTML] Radiomics and radiogenomics in gliomas: a contemporary update
The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
[HTML][HTML] Biobanking in health care: evolution and future directions
L Coppola, A Cianflone, AM Grimaldi… - Journal of translational …, 2019 - Springer
Background The aim of the present review is to discuss how the promising field of
biobanking can support health care research strategies. As the concept has evolved over …
biobanking can support health care research strategies. As the concept has evolved over …
[HTML][HTML] A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas
Purpose To evaluate ability of radiomic (computer-extracted imaging) features to distinguish
non-small cell lung cancer adenocarcinomas from granulomas at noncontrast CT. Materials …
non-small cell lung cancer adenocarcinomas from granulomas at noncontrast CT. Materials …
From handcrafted to deep-learning-based cancer radiomics: challenges and opportunities
Recent advancements in signal processing (SP) and machine learning, coupled with
electronic medical record keeping in hospitals and the availability of extensive sets of …
electronic medical record keeping in hospitals and the availability of extensive sets of …
Harnessing non-destructive 3D pathology
High-throughput methods for slide-free three-dimensional (3D) pathological analyses of
whole biopsies and surgical specimens offer the promise of modernizing traditional …
whole biopsies and surgical specimens offer the promise of modernizing traditional …
[HTML][HTML] Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Objective To investigate the impact of harmonization on the performance of CT, PET, and
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …
The state of the art for artificial intelligence in lung digital pathology
Lung diseases carry a significant burden of morbidity and mortality worldwide. The advent of
digital pathology (DP) and an increase in computational power have led to the development …
digital pathology (DP) and an increase in computational power have led to the development …
[HTML][HTML] Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine
The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We
have observed an exponential increase in the number of exams performed …
have observed an exponential increase in the number of exams performed …
[HTML][HTML] Lung cancer histology classification from CT images based on radiomics and deep learning models
P Marentakis, P Karaiskos, V Kouloulias… - Medical & Biological …, 2021 - Springer
Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of
non-small cell lung cancer (NSCLC), responsible for a large fraction of cancer deaths …
non-small cell lung cancer (NSCLC), responsible for a large fraction of cancer deaths …