[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Recent advances of artificial intelligence in healthcare: A systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
High bit-depth medical image compression with HEVC
Efficient storing and retrieval of medical images has direct impact on reducing costs and
improving access in cloud-based health care services. JPEG 2000 is currently the commonly …
improving access in cloud-based health care services. JPEG 2000 is currently the commonly …
Fundus image quality assessment: survey, challenges, and future scope
Various ocular diseases, such as cataract, diabetic retinopathy, and glaucoma have affected
a large proportion of the population worldwide. In ophthalmology, fundus photography is …
a large proportion of the population worldwide. In ophthalmology, fundus photography is …
Hico: Hierarchical contrastive learning for ultrasound video model pretraining
The self-supervised ultrasound (US) video model pretraining can use a small amount of
labeled data to achieve one of the most promising results on US diagnosis. However, it does …
labeled data to achieve one of the most promising results on US diagnosis. However, it does …
Comparative study of the methodologies used for subjective medical image quality assessment
Healthcare professionals have been increasingly viewing medical images and videos in
their routine clinical practice, and this in a wide variety of environments. Both the perception …
their routine clinical practice, and this in a wide variety of environments. Both the perception …
Multivariate regression-based convolutional neural network model for fundus image quality assessment
Objectively assessing the perceptual quality of an ocular fundus image is essential for the
reliable diagnosis of various ocular diseases. A fair amount of work has been done in this …
reliable diagnosis of various ocular diseases. A fair amount of work has been done in this …
Can signal-to-noise ratio perform as a baseline indicator for medical image quality assessment
Natural image quality assessment (NIQA) wins increasing attention, while NIQA models are
rarely used in the medical community. A couple of studies employ the NIQA methodologies …
rarely used in the medical community. A couple of studies employ the NIQA methodologies …
IoT-based computational frameworks in disease prediction and healthcare management: Strategies, challenges, and potential
In this fastest-growing digitalization and technology, the application of the Internet of Things
(IoT) in the healthcare industry brings revolutionary changes in the development and …
(IoT) in the healthcare industry brings revolutionary changes in the development and …
Content-aware downlink scheduling for LTE wireless systems: A survey and performance comparison of key approaches
We present in this paper a comprehensive review and comparison of recent downlink
scheduling approaches for video streaming traffic over the Orthogonal Frequency Division …
scheduling approaches for video streaming traffic over the Orthogonal Frequency Division …