Empowering Biomedical Health with Federated Learning: Addressing Privacy and Data Sharing for Enhanced Disease Detection and Diagnosis
A Raheem, Y Zhen, H Yu, F Sabah… - 2023 8th IEEE …, 2023 - ieeexplore.ieee.org
The advent of big data and AI has resulted in a data revolution across many sectors,
healthcare among them. However, the private nature of patient information frequently …
healthcare among them. However, the private nature of patient information frequently …
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives
Y Hu, A Chaddad - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
This paper presents the use of federated learning (FL) in healthcare to improve the efficiency
and accuracy of medical diagnosis while addressing privacy concerns related to medical …
and accuracy of medical diagnosis while addressing privacy concerns related to medical …
Liver Cancer Diagnosis with Lightweight Federated Learning Using Identically Distributed Images
NK Trivedi, S Shukla, RG Tiwari… - … on System Modeling …, 2023 - ieeexplore.ieee.org
A major obstacle for cancer research is the prediction of liver cancer progression. This
research looked at models that can predict how Hepatocellular carcinoma (HCC) would …
research looked at models that can predict how Hepatocellular carcinoma (HCC) would …
Federated Learning Applications for Breast Cancer
Breast cancer stands as the leading cause of mortality among women worldwide,
encompassing all types of cancer. It can affect women of all age groups post-puberty in any …
encompassing all types of cancer. It can affect women of all age groups post-puberty in any …
Effective Approach to Utilize Distributed Data for Pneumonia Image Detection Using Federated Learning Framework
Pneumonia is one of the serious disease effecting lungs. Yearly, over 4 million people dies
on average, therefore it is essential to have an effective system for early diagnoses. State-of …
on average, therefore it is essential to have an effective system for early diagnoses. State-of …
Federated approach for lung and colon cancer classification
Deep learning is fueled by massive data. However, medical data availability is a challenge
affecting the robustness of models for Computer-Aided Diagnostics. Several factors …
affecting the robustness of models for Computer-Aided Diagnostics. Several factors …
Ensemble Federated learning approach for diagnostics of multi-order lung cancer
U Subashchandrabose, R John, UV Anbazhagu… - Diagnostics, 2023 - mdpi.com
The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …
outcome. However, the traditional classification methods are based on single machine …
A comparative study of federated learning models for covid-19 detection
E Darzidehkalani, NM Sijtsema… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning is effective in diagnosing COVID-19 and requires a large amount of data to
be effectively trained. Due to data and privacy regulations, hospitals generally have no …
be effectively trained. Due to data and privacy regulations, hospitals generally have no …
A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
Federated learning for chronic obstructive pulmonary disease classification with partial personalized attention mechanism
Y Shen, B Liu, R Yu, Y Wang, S Wang… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death
worldwide. Yet, COPD diagnosis heavily relies on spirometric examination as well as …
worldwide. Yet, COPD diagnosis heavily relies on spirometric examination as well as …