[HTML][HTML] A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions

B Pandey, DK Pandey, BP Mishra… - Journal of King Saud …, 2022 - Elsevier
The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …

Multi-view feature fusion based four views model for mammogram classification using convolutional neural network

HN Khan, AR Shahid, B Raza, AH Dar… - IEEE Access, 2019 - ieeexplore.ieee.org
Breast cancer is the second most common cause of cancer-related deaths among women.
Early detection leads to better prognosis and saves lives. The 5-year survival rate of breast …

Technologies used for telementoring in open surgery: a sco** review

H Hamza, A Al-Ansari, NV Navkar - Telemedicine and e-Health, 2024 - liebertpub.com
Background: Telementoring technologies enable a remote mentor to guide a mentee in real-
time during surgical procedures. This addresses challenges, such as lack of expertise and …

[HTML][HTML] Implementation and application of telemedicine in China: cross-sectional study

F Cui, Q Ma, X He, Y Zhai, J Zhao, B Chen… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Telemedicine has been used widely in China and has benefited a large
number of patients, but little is known about the overall development of telemedicine …

Post discharge risk prediction

T Wolf, D Asselmann - US Patent 11,452,576, 2022 - Google Patents
US11452576B2 - Post discharge risk prediction - Google Patents US11452576B2 - Post
discharge risk prediction - Google Patents Post discharge risk prediction Download PDF …

Estimating a source and extent of fluid leakage during surgery

T Wolf, D Asselmann - US Patent 11,798,092, 2023 - Google Patents
US11798092B2 - Estimating a source and extent of fluid leakage during surgery - Google
Patents US11798092B2 - Estimating a source and extent of fluid leakage during surgery …

Multi-feature view-based shallow convolutional neural network for road segmentation

M Junaid, M Ghafoor, A Hassan, S Khalid… - IEEe …, 2020 - ieeexplore.ieee.org
This study presents a shallow and robust road segmentation model. The computer-aided
real-time applications, like driver assistance, require real-time and accurate processing …

Neural Network Architectures for Real-Time Image and Video Processing Applications

D Narsina, N Richardson, A Kamisetty… - Engineering …, 2022 - hal.science
This research optimizes neural network topologies for real-time image and video processing
to achieve high-speed, accurate performance in dynamic contexts. The project aims to find …

[HTML][HTML] Dynamic Augmented Reality Cues for Telementoring in Minimally Invasive Surgeries: Sco** Review

H Hamza, OM Aboumarzouk, A Al-Ansari… - Journal of Medical …, 2025 - jmir.org
Background Remote surgeons use telementoring technologies to provide real-time
guidance during minimally invasive surgeries (MIS). Such technologies are continuously …

[HTML][HTML] Opportunities and challenges of smartglass-assisted interactive telementoring

H Yoon - Applied System Innovation, 2021 - mdpi.com
The widespread adoption of wearables, extended reality, and metaverses has accelerated
the diverse configurations of remote collaboration and telementoring systems. This paper …