Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms

Factors to Consider When Analyzing 12 - Lead Electrocardiograms For

• Describe technical effects that can occur on ECG waveforms An important factor to consider when using findings on electrocardiograms for clinical decision making is that the waveforms are influenced by normal physiological and technical factors as well as by pathophysiological factors. Traditionally, the focus of bedside monitoring is detection of arrhythmia. However, continuous ST-segment mo...

Efficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text

People's opinions about a specific concept are considered as one of the most important textual data that are available on the web. However, finding and monitoring web pages containing these comments and extracting valuable information from them is very difficult. In this regard, developing automatic sentiment analysis systems that can extract opinions and express their intellectual process has ...

Deep Learning for Laser Based Odometry Estimation

In this paper we take advantage of recent advances in deep learning techniques focused on image classification to estimate transforms between consecutive point clouds. A standard technique for feature learning is to use convolutional neural networks. Leveraging this technique can help with one of the biggest challenges in robotic motion planning, real time odometry. Sensors have advanced in rec...

Bayesian Deep Learning | Uncertainty in Deep Learning

Deep learning-based CAD systems for mammography: A review article

Breast cancer is one of the most common types of cancer in women. Screening mammography is a low‑dose X‑ray examination of breasts, which is conducted to detect breast cancer at early stages when the cancerous tumor is too small to be felt as a lump. Screening mammography is conducted for women with no symptoms of breast cancer, for early detection of cancer when the cancer is most treatable an...