ES01.03 Deep Machine Learning for Screening LDCT

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lack of Specificity from LDCT Screening

dose computed tomography (LDCT) following the publication of the results of the National Lung Screening Trial (NLST) [1]. This is understandable given the current low survival of patients diagnosed with symptomatic lung cancer and the very slow progress of improvements in treatment for the disease. Although there are several trials of lung screening using LDCT, theNLST is, and is likely to rema...

متن کامل

Double Deep Machine Learning

Very important breakthroughs in data-centric machine learning algorithms led to impressive performance in ‘transactional’ point applications such as detecting anger in speech, alerts from a Face Recognition system, or EKG interpretation. Nontransactional applications, e.g. medical diagnosis beyond the EKG results, require AI algorithms that integrate deeper and broader knowledge in their proble...

متن کامل

Screening for Prediabetes Using Machine Learning Models

The global prevalence of diabetes is rapidly increasing. Studies support the necessity of screening and interventions for prediabetes, which could result in serious complications and diabetes. This study aimed at developing an intelligence-based screening model for prediabetes. Data from the Korean National Health and Nutrition Examination Survey (KNHANES) were used, excluding subjects with dia...

متن کامل

Machine learning in virtual screening.

In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a particular protein target. Both ligand-based similarity searching and structure-based docking have benefited from machine learning algorithms, including naïve Baye...

متن کامل

A Deep Learning Approach to Machine Transliteration

In this paper we present a novel transliteration technique which is based on deep belief networks. Common approaches use finite state machines or other methods similar to conventional machine translation. Instead of using conventional NLP techniques, the approach presented here builds on deep belief networks, a technique which was shown to work well for other machine learning problems. We show ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Thoracic Oncology

سال: 2018

ISSN: 1556-0864

DOI: 10.1016/j.jtho.2018.08.020