[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …
continuous collection of data in an unobtrusive manner. Machine learning methods have …
Wearable, environmental, and smartphone-based passive sensing for mental health monitoring
M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …
widely employed for the monitoring of mental health. Variations in parameters such as …
Kvasir-seg: A segmented polyp dataset
Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In
practice, it is difficult to find annotated medical images with corresponding segmentation …
practice, it is difficult to find annotated medical images with corresponding segmentation …
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
Artificial intelligence is currently a hot topic in medicine. However, medical data is often
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …
Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection
K Pogorelov, KR Randel, C Griwodz… - Proceedings of the 8th …, 2017 - dl.acm.org
Automatic detection of diseases by use of computers is an important, but still unexplored
field of research. Such innovations may improve medical practice and refine health care …
field of research. Such innovations may improve medical practice and refine health care …
Kvasir-Capsule, a video capsule endoscopy dataset
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …
Content-based processing and analysis of endoscopic images and videos: A survey
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …
and minimally invasive surgery. Since then, various research communities with manifold …
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
Deep learning-based tools may annotate and interpret medical data more quickly,
consistently, and accurately than medical doctors. However, as medical doctors are …
consistently, and accurately than medical doctors. However, as medical doctors are …
Machine learning-based analysis of sperm videos and participant data for male fertility prediction
SA Hicks, JM Andersen, O Witczak, V Thambawita… - Scientific reports, 2019 - nature.com
Methods for automatic analysis of clinical data are usually targeted towards a specific
modality and do not make use of all relevant data available. In the field of male human …
modality and do not make use of all relevant data available. In the field of male human …
[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …