AIMC Topic: Deep Learning

Clear Filters Showing 27231 to 27240 of 28423 articles

Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review.

World journal of gastroenterology
Upper gastrointestinal (GI) cancers are the leading cause of cancer-related deaths worldwide. Early identification of precancerous lesions has been shown to minimize the incidence of GI cancers and substantiate the vital role of screening endoscopy. ...

Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.

The British journal of surgery
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. ...

A Deep Learning Framework for Automated ICD-10 Coding.

Studies in health technology and informatics
The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of the widely used classification system for diagnoses and procedures to assign diagnosis codes to Electronic Health Record (EHR) associated with a pati...

DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning.

Studies in health technology and informatics
Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interp...

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.

Studies in health technology and informatics
In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two different glioblastoma (GB) segmentation datasets. Our experiments show that the same training procedure yields almost twice as bad results on the re...

Federated Deep Learning Architecture for Personalized Healthcare.

Studies in health technology and informatics
Using deep learning to advance personalized healthcare requires data about patients to be collected and aggregated from disparate sources that often span institutions and geographies. Researchers regularly come face-to-face with legitimate security a...

Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.

Studies in health technology and informatics
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients...

Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review.

Studies in health technology and informatics
The ongoing COVID-19 pandemic has become the most impactful pandemic of the past century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining global health systems. More than 2 million people have died from COVID-19 (as o...

COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning.

Studies in health technology and informatics
Medical imaging offers great potential for COVID-19 diagnosis and monitoring. Our work introduces an automated pipeline to segment areas of COVID-19 infection in CT scans using deep convolutional neural networks. Furthermore, we evaluate the performa...

Enabling autonomous scanning probe microscopy imaging of single molecules with deep learning.

Nanoscale
Scanning probe microscopies allow investigating surfaces at the nanoscale, in real space and with unparalleled signal-to-noise ratio. However, these microscopies are not used as much as it would be expected considering their potential. The main limit...