Deep learning-enabled medical computer vision

A Esteva, K Chou, S Yeung, N Naik, A Madani… - NPJ digital …, 2021 - nature.com
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

Designing deep learning studies in cancer diagnostics

A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …

Deep learning models in medical image analysis

M Tsuneki - Journal of Oral Biosciences, 2022 - Elsevier
Background Deep learning is a state-of-the-art technology that has rapidly become the
method of choice for medical image analysis. Its fast and robust object detection …

Cancer diagnosis using deep learning: a bibliographic review

K Munir, H Elahi, A Ayub, F Frezza, A Rizzi - Cancers, 2019 - mdpi.com
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

Application of artificial intelligence to gastroenterology and hepatology

C Le Berre, WJ Sandborn, S Aridhi, MD Devignes… - Gastroenterology, 2020 - Elsevier
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

H Luo, G Xu, C Li, L He, L Luo, Z Wang, B Jing… - The Lancet …, 2019 - thelancet.com
Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …

Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact …

Z Ahmad, S Rahim, M Zubair, J Abdul-Ghafar - Diagnostic pathology, 2021 - Springer
Abstract Background The role of Artificial intelligence (AI) which is defined as the ability of
computers to perform tasks that normally require human intelligence is constantly …

Deep learning in medical image analysis: A third eye for doctors

A Fourcade, RH Khonsari - Journal of stomatology, oral and maxillofacial …, 2019 - Elsevier
Aim and scope Artificial intelligence (AI) in medicine is a fast-growing field. The rise of deep
learning algorithms, such as convolutional neural networks (CNNs), offers fascinating …

Going deep in medical image analysis: concepts, methods, challenges, and future directions

F Altaf, SMS Islam, N Akhtar, NK Janjua - IEEE Access, 2019 - ieeexplore.ieee.org
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

[HTML][HTML] Application of artificial intelligence in gastroenterology

YJ Yang, CS Bang - World journal of gastroenterology, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough
computer technology. By the era of big data, the accumulation of an enormous number of …