Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis

D Karimi, H Dou, SK Warfield, A Gholipour - Medical image analysis, 2020 - Elsevier
Supervised training of deep learning models requires large labeled datasets. There is a
growing interest in obtaining such datasets for medical image analysis applications …

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

W Bulten, K Kartasalo, PHC Chen, P Ström… - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

P Ström, K Kartasalo, H Olsson, L Solorzano… - The Lancet …, 2020 - thelancet.com
Background An increasing volume of prostate biopsies and a worldwide shortage of
urological pathologists puts a strain on pathology departments. Additionally, the high intra …

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 …

The 2019 Genitourinary Pathology Society (GUPS) white paper on contemporary grading of prostate cancer

JI Epstein, MB Amin, SW Fine… - … of pathology & …, 2021 - meridian.allenpress.com
Context.—Controversies and uncertainty persist in prostate cancer grading. Objective.—To
update grading recommendations. Data Sources.—Critical review of the literature along with …

The global research of artificial intelligence on prostate cancer: a 22-year bibliometric analysis

Z Shen, H Wu, Z Chen, J Hu, J Pan, J Kong… - Frontiers in …, 2022 - frontiersin.org
Background With the rapid development of technology, artificial intelligence (AI) has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …

High-accuracy prostate cancer pathology using deep learning

Y Tolkach, T Dohmgörgen, M Toma… - Nature Machine …, 2020 - nature.com
Deep learning (DL) is a powerful methodology for the recognition and classification of tissue
structures in digital pathology. Its performance in prostate cancer pathology is still under …

An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study

L Pantanowitz, GM Quiroga-Garza, L Bien… - The Lancet Digital …, 2020 - thelancet.com
Background There is high demand to develop computer-assisted diagnostic tools to
evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of …

Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …