Deep semantic segmentation of natural and medical images: a review
The semantic image segmentation task consists of classifying each pixel of an image into an
instance, where each instance corresponds to a class. This task is a part of the concept of …
instance, where each instance corresponds to a class. This task is a part of the concept of …
A brief review on multi-task learning
KH Thung, CY Wee - Multimedia Tools and Applications, 2018 - Springer
Abstract Multi-task learning (MTL), which optimizes multiple related learning tasks at the
same time, has been widely used in various applications, including natural language …
same time, has been widely used in various applications, including natural language …
Deepphys: Video-based physiological measurement using convolutional attention networks
Non-contact video-based physiological measurement has many applications in health care
and human-computer interaction. Practical applications require measurements to be …
and human-computer interaction. Practical applications require measurements to be …
Remote heart rate measurement from highly compressed facial videos: an end-to-end deep learning solution with video enhancement
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any
contact, has great potential in many applications (eg, remote healthcare). Existing rPPG …
contact, has great potential in many applications (eg, remote healthcare). Existing rPPG …
Vision-based real-time structural vibration measurement through deep-learning-based detection and tracking methods
Structural vibration measurement is crucial in structural health monitoring and structural
laboratory tests. Traditional contact type sensors are usually required to be attached to the …
laboratory tests. Traditional contact type sensors are usually required to be attached to the …
Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)
A tumor could be found in any area of the brain and could be of any size, shape, and
contrast. There may exist multiple tumors of different types in a human brain at the same …
contrast. There may exist multiple tumors of different types in a human brain at the same …
Fast body part segmentation and tracking of neonatal video data using deep learning
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the
neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical …
neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical …
Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many
parts of the world. Healthcare professionals are not only over-burdened but also at a high …
parts of the world. Healthcare professionals are not only over-burdened but also at a high …
Non-contact sensing of neonatal pulse rate using camera-based imaging: a clinical feasibility study
Objective: Neonates and infants are patients who would benefit from less invasive vital sign
sensing, especially from fewer cables and the avoidance of adhesive electrodes …
sensing, especially from fewer cables and the avoidance of adhesive electrodes …