A new era: artificial intelligence and machine learning in prostate cancer

SL Goldenberg, G Nir, SE Salcudean - Nature Reviews Urology, 2019‏ - nature.com
Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and resha** our health-care …

When machine learning meets privacy in 6G: A survey

Y Sun, J Liu, J Wang, Y Cao… - … Surveys & Tutorials, 2020‏ - ieeexplore.ieee.org
The rapid-develo** Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Focalmix: Semi-supervised learning for 3d medical image detection

D Wang, Y Zhang, K Zhang… - Proceedings of the IEEE …, 2020‏ - openaccess.thecvf.com
Applying artificial intelligence techniques in medical imaging is one of the most promising
areas in medicine. However, most of the recent success in this area highly relies on large …

Imaging intelligence: AI is transforming medical imaging across the imaging spectrum

S Mandal, AB Greenblatt, J An - IEEE pulse, 2018‏ - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad
ways, and medical imaging is at the forefront of technological transformation. Recent …

Quantitative analyses of the tumor microenvironment composition and orientation in the era of precision medicine

F Petitprez, CM Sun, L Lacroix… - Frontiers in …, 2018‏ - frontiersin.org
Tumors are formed by aggregates of cells of various origins including malignant, stromal
and immune cells. The number of therapies targeting the microenvironment is increasing as …

Deep learning-based risk model for best management of closed groin incisions after vascular surgery

B Chang, Z Sun, P Peiris, ES Huang… - Journal of Surgical …, 2020‏ - Elsevier
Background Reduced surgical site infection (SSI) rates have been reported with use of
closed incision negative pressure therapy (ciNPT) in high-risk patients. Methods A deep …

Toward large-scale histopathological image analysis via deep learning

B Kong, Z Li, S Zhang - Biomedical Information Technology, 2020‏ - Elsevier
The histopathological image has served as the gold standard of cancer diagnosis and
played a vital role in diagnosing cancer in clinical settings for over a century. Traditionally …

Deep learning for semantic segmentation versus classification in computational pathology: application to mitosis analysis in breast cancer grading

GA Jiménez Garay - 2019‏ - tesis.pucp.edu.pe
Existing computational pathology approaches did not allow, yet, the emergence of
effective/efficient computer-aided tools used as a second opinion for pathologists in the daily …

Deep Learning for Semantic Segmentation Versus Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading

GAJ Garay - 2019‏ - search.proquest.com
Existing computational pathology approaches did not allow, yet, the emergence of
effective/efficient computer-aided tools used as a second opinion for pathologists in the daily …

1. UN CLINICAL DECISION SUPPORT SYSTEM BASATO SU REALTÀ AUMENTATA PER L'ASSISTENZA DOMICILIARE DEI PAZIENTI AFFETTI DA LESIONI DA …

D Parente, A Peduto - … management system per la gestione di …, 2021‏ - books.google.com
Le lesioni da pressione (LdP) rappresentano un importante problema per le organizzazioni
sanitarie in quanto influiscono pesantemente sulla qualità della vita dei pazienti che ne …