ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework
The survival rate of lung cancer relies significantly on how far the disease has spread when
it is detected, how it reacts to the treatment, the patient's overall health, and other factors …
it is detected, how it reacts to the treatment, the patient's overall health, and other factors …
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
V Kunc - arXiv preprint arXiv:2402.09249, 2024 - arxiv.org
Neural networks are the state-of-the-art approach for many tasks and the activation function
is one of the main building blocks that allow such performance. Recently, a novel …
is one of the main building blocks that allow such performance. Recently, a novel …
Securing Privacy in the Metaverse: Advancing Biomedical Image Analysis Through Federated Learning
PK Sharma, B Ramesh, F Arslan… - … Learning and Privacy …, 2024 - igi-global.com
This research explores the integration of privacy-preserving federated learning techniques
in the context of biomedical image analysis within the metaverse. The metaverse, a virtual …
in the context of biomedical image analysis within the metaverse. The metaverse, a virtual …
[PDF][PDF] Digital Healthcare Safety: How well the use of predictive analytics to detect and minimize medical errors, and improve patient safety? The Future of Digital …
C Kue - researchgate.net
Struggles with medical errors and harm have been widely associated with unsafe
medication practices, particularly in unsafe care. While this topic has been widely studied …
medication practices, particularly in unsafe care. While this topic has been widely studied …