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[HTML][HTML] A federated learning model based on hardware acceleration for the early detection of alzheimer's disease
Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …
disease's consequences are devastating to the patient and the patient's family. If detected …
[HTML][HTML] Development and Validation of Machine Learning Algorithms for Prediction of Colorectal Polyps Based on Electronic Health Records
Q Ba, X Yuan, Y Wang, N Shen, H **e, Y Lu - Biomedicines, 2024 - mdpi.com
Background: Colorectal Polyps are the main source of precancerous lesions in colorectal
cancer. To increase the early diagnosis of tumors and improve their screening, we aimed to …
cancer. To increase the early diagnosis of tumors and improve their screening, we aimed to …
Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists' Visual Estimates
T Kiyuna, E Cosatto, KC Hatanaka, T Yokose, K Tsuta… - Diagnostics, 2024 - mdpi.com
The development of next-generation sequencing (NGS) has enabled the discovery of cancer-
specific driver gene alternations, making precision medicine possible. However, accurate …
specific driver gene alternations, making precision medicine possible. However, accurate …
Design and Development of an Integrated Healthcare Platform Using Deep Convolutional Neural Networks (DCNNs)
A Ghani, A Bommalata - Innovations in Computer Vision and Data …, 2024 - Springer
The global burden of chest diseases, particularly tuberculosis (TB), continues to be a
significant concern, contributing to a substantial number of fatalities worldwide. Early …
significant concern, contributing to a substantial number of fatalities worldwide. Early …
Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks
L Yu, B Guo, T Zhi, L Bai - Electronics, 2023 - mdpi.com
FPGAs are gaining favor among researchers in fields including artificial intelligence and big
data due to their configurability and high level of parallelism. As the packing methods …
data due to their configurability and high level of parallelism. As the packing methods …
Fundamentals of Low-Power Neuromorphic Circuit Design with Spiking Neural Networks (SNNs)
A Ghani - Innovations in Computer Vision and Data Classification …, 2024 - Springer
Spiking neural networks (SNNs) have existed since the late twentieth century and continue
to undergo development. Recent years have seen a remarkable interest in such biologically …
to undergo development. Recent years have seen a remarkable interest in such biologically …
A System-Level Approach to Sustainable Low Power Sensing: Meeting United Nations Sustainable Development Goals (SDGs)
A Ghani - Innovations in Computer Vision and Data Classification …, 2024 - Springer
Environmental sensing has gained significant importance, particularly in light of excessive
carbon emissions from industrial processes. However, deploying remote wireless sensors in …
carbon emissions from industrial processes. However, deploying remote wireless sensors in …
Advancements in Digital Health Diagnostics: Mathematical Modelling in the Detection of Cancer Cells
The increasing understanding of cancer cells and its mathematical models has significantly
advanced cancer research. Considerable progress has been made in theory, clinical …
advanced cancer research. Considerable progress has been made in theory, clinical …
Computer Vision-Based Human Activity Detection for Intensive Care Patients: A Case Study Based on Region of Interest (ROI)
Human activity detection (HAD) poses a significant challenge in computer vision, offering
diverse applications in human-computer interactions (HCIs), ambient assisted living and …
diverse applications in human-computer interactions (HCIs), ambient assisted living and …
[Књига][B] Innovations in Computer Vision and Data Classification
A Ghani - 2024 - Springer
Welcome to Innovations in Computer Vision and Data Classification. This book is a
comprehensive exploration of cutting-edge technologies and methodologies in the fields of …
comprehensive exploration of cutting-edge technologies and methodologies in the fields of …