Artificial intelligence and deep learning in ophthalmology
DSW Ting, LR Pasquale, L Peng… - British Journal of …, 2019 - bjo.bmj.com
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …
interest in recent years. DL has been widely adopted in image recognition, speech …
Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Importance Deep learning is a family of computational methods that allow an algorithm to
program itself by learning from a large set of examples that demonstrate the desired …
program itself by learning from a large set of examples that demonstrate the desired …
International evaluation of an AI system for breast cancer screening
Screening mammography aims to identify breast cancer at earlier stages of the disease,
when treatment can be more successful. Despite the existence of screening programmes …
when treatment can be more successful. Despite the existence of screening programmes …
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer
death in the United States. Lung cancer screening using low-dose computed tomography …
death in the United States. Lung cancer screening using low-dose computed tomography …
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Traditionally, medical discoveries are made by observing associations, making hypotheses
from them and then designing and running experiments to test the hypotheses. However …
from them and then designing and running experiments to test the hypotheses. However …
[HTML][HTML] Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …
However, results have been limited to individual studies, lacking validation in multinational …
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on …
Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …
Detecting cancer metastases on gigapixel pathology images
Each year, the treatment decisions for more than 230,000 breast cancer patients in the US
hinge on whether the cancer has metastasized away from the breast. Metastasis detection is …
hinge on whether the cancer has metastasized away from the breast. Metastasis detection is …
TiO2 Nanotube Arrays of 1000 μm Length by Anodization of Titanium Foil: Phenol Red Diffusion
M Paulose, HE Prakasam, OK Varghese… - The Journal of …, 2007 - ACS Publications
We report for the first time fabrication of self-aligned hexagonally closed-packed titania
nanotube arrays of over 1000 μm in length and aspect ratio≈ 10 000 by potentiostatic …
nanotube arrays of over 1000 μm in length and aspect ratio≈ 10 000 by potentiostatic …