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Biomarkers of aggressive prostate cancer at diagnosis
In the United States, prostate cancer (CaP) remains the second leading cause of cancer
deaths in men. CaP is predominantly indolent at diagnosis, with a small fraction (25–30%) …
deaths in men. CaP is predominantly indolent at diagnosis, with a small fraction (25–30%) …
[HTML][HTML] Machine learning in prostate MRI for prostate cancer: current status and future opportunities
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …
detection of prostate cancer have enabled its integration into clinical routines in the past two …
[HTML][HTML] Oncologic imaging and radiomics: a walkthrough review of methodological challenges
Simple Summary Radiomics could increase the value of medical images for oncologic
patients, allowing for the identification of novel imaging biomarkers and building prediction …
patients, allowing for the identification of novel imaging biomarkers and building prediction …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images
Background Accurate segmentation of stroke lesions on MRI images is very important for
neurologists in the planning of post-stroke care. Segmentation helps clinicians to better …
neurologists in the planning of post-stroke care. Segmentation helps clinicians to better …
[HTML][HTML] Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion
Y Zheng, X Guo, Y Yang, H Wang, K Liao… - Computers in Biology and …, 2023 - Elsevier
Left ventricular diastolic dyfunction detection is particularly important in cardiac function
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …
spurred further research into tumor biology. Yet, cancer patients respond variably to …
[HTML][HTML] Prostate health index and multiparametric MRI: partners in crime fighting overdiagnosis and overtreatment in prostate cancer
Simple Summary In the last decades, the widespread use of PSA as the standard tool for
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …
Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer
Objective To identify which patient with prostate cancer (PCa) could safely avoid extended
pelvic lymph node dissection (ePLND) by predicting lymph node invasion (LNI), via a …
pelvic lymph node dissection (ePLND) by predicting lymph node invasion (LNI), via a …
Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis
Objectives Extraprostatic extension (EPE) of prostate cancer (PCa) is predicted using clinical
nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and …
nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and …