[HTML][HTML] Contemporary whole slide imaging devices and their applications within the modern pathology department: a selected hardware review
Digital pathology (DP) has disrupted the practice of traditional pathology, including
applications in education, research, and clinical practice. Contemporary whole slide imaging …
applications in education, research, and clinical practice. Contemporary whole slide imaging …
Handling privacy-sensitive medical data with federated learning: challenges and future directions
Recent medical applications are largely dominated by the application of Machine Learning
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem
Cloud computing is a technology that allows dynamic and flexible computing capability and
storage through on‐demand delivery and pay‐as‐you‐go services over the Internet. This …
storage through on‐demand delivery and pay‐as‐you‐go services over the Internet. This …
Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform
VK Singh, MH Kolekar - Multimedia Tools and Applications, 2022 - Springer
The novel coronavirus outbreak has spread worldwide, causing respiratory infections in
humans, leading to a huge global pandemic COVID-19. According to World Health …
humans, leading to a huge global pandemic COVID-19. According to World Health …
An Automatic Malaria Disease Diagnosis Framework Integrating Blockchain Enabled Cloud-edge Computing and Deep Learning
S Chen, S Zhao, C Huang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Malaria is a life-threatening disease, which mainly occurs in developing countries and
regions with poor sanitary conditions. Early diagnosis of malaria will effectively decrease the …
regions with poor sanitary conditions. Early diagnosis of malaria will effectively decrease the …
Ents: An edge-native task scheduling system for collaborative edge computing
Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the
coupled data, computation, and networking resources among heterogeneous geo …
coupled data, computation, and networking resources among heterogeneous geo …
Restoring application traffic of latency-sensitive networked systems using adversarial autoencoders
The Internet of Things (IoT), coupled with the edge computing paradigm, is enabling several
pervasive networked applications with stringent real-time requirements, such as …
pervasive networked applications with stringent real-time requirements, such as …
Substantial improvement of histopathological diagnosis by whole-slide image-based remote consultation
S Shinohara, A Bychkov, J Munkhdelger, K Kuroda… - Virchows Archiv, 2022 - Springer
Consultation by subspecialty experts is the most common mode of rendering diagnosis in
challenging cases in pathological practice. Our study aimed to highlight the diagnostic …
challenging cases in pathological practice. Our study aimed to highlight the diagnostic …
Howdah: Load profiling via in-band flow classification and P4
The challenges of managing datacenter traffic increase with the complexity and variety of
new Internet and Web applications. Efficient network management systems are often …
new Internet and Web applications. Efficient network management systems are often …
Edge-enabled anti-noise telepathology imaging reconstruction technology in harsh environments
With the advent of the 5G era, telemedicine and mobile health play an increasingly important
role in our daily lives. In the diagnosis process of telemedicine, image processing of …
role in our daily lives. In the diagnosis process of telemedicine, image processing of …