Experimental in vitro, ex vivo and in vivo models in prostate cancer research

V Sailer, G von Amsberg, S Duensing, J Kirfel… - Nature Reviews …, 2023 - nature.com
Androgen deprivation therapy has a central role in the treatment of advanced prostate
cancer, often causing initial tumour remission before increasing independence from signal …

What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?

LT Zhao, ZY Liu, WF Xie, LZ Shao, J Lu, J Tian… - Military Medical …, 2023 - Springer
The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

Artificial intelligence for cancer detection—a bibliometric analysis and avenues for future research

E Karger, M Kureljusic - Current Oncology, 2023 - mdpi.com
After cardiovascular diseases, cancer is responsible for the most deaths worldwide.
Detecting a cancer disease early improves the chances for healing significantly. One group …

Artificial intelligence in multiparametric magnetic resonance imaging: A review

C Li, W Li, C Liu, H Zheng, J Cai, S Wang - Medical physics, 2022 - Wiley Online Library
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Machine learning classification of polar sub-phases in liquid crystal MHPOBC

R Betts, I Dierking - Soft Matter, 2023 - pubs.rsc.org
Experimental polarising microscopy texture images of the fluid smectic phases and sub-
phases of the classic liquid crystal MHPOBC were classified as paraelectric (SmA*) …

SoK: The impact of unlabelled data in cyberthreat detection

G Apruzzese, P Laskov… - 2022 IEEE 7th European …, 2022 - ieeexplore.ieee.org
Machine learning (ML) has become an important paradigm for cyberthreat detection (CTD)
in the recent years. A substantial research effort has been invested in the development of …

Software‐assisted decision support in digital histopathology

R Huss, SE Coupland - The Journal of Pathology, 2020 - Wiley Online Library
Tissue diagnostics is the world of pathologists, and it is increasingly becoming digitalised to
leverage the enormous potential of personalised medicine and of stratifying patients …

Harnessing artificial intelligence for prostate cancer management

L Zhu, J Pan, W Mou, L Deng, Y Zhu, Y Wang… - Cell Reports …, 2024 - cell.com
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging

X Wang, J Ma, P Bhosale, JJ Ibarra Rovira… - Abdominal …, 2021 - Springer
Introduction Magnetic resonance imaging (MRI) has played an increasingly major role in the
evaluation of patients with prostate cancer, although prostate MRI presents several technical …

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers

P Garg, A Mohanty, S Ramisetty, P Kulkarni… - … et Biophysica Acta (BBA …, 2023 - Elsevier
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …