From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
Optimal feature selection-based medical image classification using deep learning model in internet of medical things
Internet of Medical Things (IoMT) is the collection of medical devices and related
applications which link the healthcare IT systems through online computer networks. In the …
applications which link the healthcare IT systems through online computer networks. In the …
A review on security and privacy of internet of medical things
Abstract The Internet of Medical Things (IoMT) is increasing the accuracy, the reliability, and
the production capability of electronic devices by playing a very important part in the industry …
the production capability of electronic devices by playing a very important part in the industry …
Synergic deep learning model–based automated detection and classification of brain intracranial hemorrhage images in wearable networks
With an intention of improving healthcare performance, wearable technology products utilize
several digital health sensors which are classically linked into sensor networks, including …
several digital health sensors which are classically linked into sensor networks, including …
IIMFCBM: Intelligent integrated model for feature extraction and classification of brain tumors using MRI clinical imaging data in IoT-healthcare
Accurate classification of brain tumors is vital for detecting brain cancer in the Medical
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
Reliable multi-object tracking model using deep learning and energy efficient wireless multimedia sensor networks
Presently, sensor-cloud based environment becomes highly beneficial due to its
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …
Manifold learning methods for the diagnosis of ovarian cancer
Early detection of ovarian cancer is crucial for a good outlook. Different machine learning
methods have already proven useful to that effect, but using many features and samples …
methods have already proven useful to that effect, but using many features and samples …
Multi-modality medical image fusion using hybridization of binary crow search optimization
VS Parvathy, S Pothiraj - Health care management science, 2020 - Springer
In clinical applications, single modality images do not provide sufficient diagnostic
information. Therefore, it is necessary to combine the advantages or complementarities of …
information. Therefore, it is necessary to combine the advantages or complementarities of …
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning
V Subbiah Parvathy, S Pothiraj… - International Journal of …, 2020 - Wiley Online Library
Multi‐modality medical image fusion (MMIF) procedures have been generally utilized in
different clinical applications. MMIF can furnish an image with anatomical as well as …
different clinical applications. MMIF can furnish an image with anatomical as well as …
[HTML][HTML] Pulmonary diffuse airspace opacities diagnosis from chest X-ray images using deep convolutional neural networks fine-tuned by whale optimizer
X Wang, C Gong, M Khishe, M Mohammadi… - Wireless Personal …, 2022 - Springer
The early diagnosis and the accurate separation of COVID-19 from non-COVID-19 cases
based on pulmonary diffuse airspace opacities is one of the challenges facing researchers …
based on pulmonary diffuse airspace opacities is one of the challenges facing researchers …