Artificial intelligence in magnetic resonance imaging–based prostate cancer diagnosis: Where do we stand in 2021?

R Suarez-Ibarrola, A Sigle, M Eklund, D Eberli… - European Urology …, 2022 - Elsevier
Context Men suspected of harboring prostate cancer (PCa) increasingly undergo
multiparametric magnetic resonance imaging (mpMRI) and mpMRI-guided biopsy. The …

[HTML][HTML] Artificial intelligence and radiomics in magnetic resonance imaging of rectal cancer: A review

G Di Costanzo, R Ascione, A Ponsiglione… - … of Targeted Anti …, 2023 - ncbi.nlm.nih.gov
Rectal cancer (RC) is one of the most common tumours worldwide in both males and
females, with significant morbidity and mortality rates, and it accounts for approximately one …

Applications of neural networks in urology: a systematic review

E Checcucci, S De Cillis, S Granato… - Current Opinion in …, 2020 - journals.lww.com
In urological medicine, the application of novel artificial intelligence technologies,
particularly ANNs, have been considered to be a promising step in improving physicians' …

An enhanced ensemble diagnosis of cervical cancer: a pursuit of machine intelligence towards sustainable health

QM Ilyas, M Ahmad - IEEE Access, 2021 - ieeexplore.ieee.org
Cervical cancer is a potentially life-threatening disease marked by health practitioners. The
late diagnosis and treatment, being quite challenging, stake the precious lives of patients. In …

The role of MRI in prostate cancer: current and future directions

MC Fernandes, O Yildirim, S Woo, HA Vargas… - … Resonance Materials in …, 2022 - Springer
There has been an increasing role of magnetic resonance imaging (MRI) in the
management of prostate cancer. MRI already plays an essential role in the detection and …

Video analysis of intelligent teaching based on machine learning and virtual reality technology

W Mao - Neural Computing and Applications, 2022 - Springer
In this paper, we study and analyse the teaching video of oil painting art through machine
learning combined with virtual reality computing. Since the current oil painting, image …

Bio-imaging-based machine learning algorithm for breast cancer detection

S Safdar, M Rizwan, TR Gadekallu, AR Javed… - Diagnostics, 2022 - mdpi.com
Breast cancer is one of the most widespread diseases in women worldwide. It leads to the
second-largest mortality rate in women, especially in European countries. It occurs when …

Non-invasive molecular imaging for precision diagnosis of metastatic lymph nodes: opportunities from preclinical to clinical applications

Z Cheng, J Ma, L Yin, L Yu, Z Yuan, B Zhang… - European Journal of …, 2023 - Springer
Lymph node metastasis is an indicator of the invasiveness and aggressiveness of cancer. It
is a vital prognostic factor in clinical staging of the disease and therapeutic decision-making …

Studierfenster: an open science cloud-based medical imaging analysis platform

J Egger, D Wild, M Weber, CAR Bedoya, F Karner… - Journal of digital …, 2022 - Springer
Imaging modalities such as computed tomography (CT) and magnetic resonance imaging
(MRI) are widely used in diagnostics, clinical studies, and treatment planning. Automatic …

A fully automatic artificial intelligence system able to detect and characterize prostate cancer using multiparametric MRI: multicenter and multi-scanner validation

V Giannini, S Mazzetti, A Defeudis, G Stranieri… - Frontiers in …, 2021 - frontiersin.org
In the last years, the widespread use of the prostate-specific antigen (PSA) blood
examination to triage patients who will enter the diagnostic/therapeutic path for prostate …