Detection of Brain Tumour using CNN in Federated Machine Learning

S Bhadauriya, T Merothiya, SC Yadav… - … on Advances in …, 2023 - ieeexplore.ieee.org
Brain tumours are a deadly illness that kills many people. The earlier a brain tumour is
detected, the better the treatment, and the longer the patient lives. Artificial intelligence (AI) …

Brain Tumour Diagnosis with Lightweight Federated Learning using Identically Distributed Images

NK Trivedi, S Shukla, AK Agarwal… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The innovative method was developed by bringing federated learning methods to the
medical field. In this study, the author refined federated learning models with data sets …

Implemented global model for brain tumor detection using Federated Learning

V Kalpana, JS Chowdary, TNVL Sravya… - … Engineering & Nano …, 2023 - ieeexplore.ieee.org
Brain tumor (BT) is a severe medical issue that is challenging to detect and treat. For a few
decades, there has been interest in applying machine learning and deep learning models to …

A Survey on Brain Tumor Diagnosis

A Koli, P Mandrekar, F Silveira… - … on Emerging Trends …, 2024 - ieeexplore.ieee.org
Brain Tumors are extremely dangerous since they take many lives annually. Excrescence
damages brain tissue or raises intracranial pressure, which has an impact on the brain. It is …

Distributed brain tumor diagnosis using a federated learning environment

DH Mahlool, MH Abed - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
In the last few years, a very huge development has occurred in medical techniques using
artificial intelligence tools, especially in the diagnosis field. One of the essential things is …

Automatic brain tumor detection using CNN transfer learning approach

VK Bairagi, PP Gumaste, SH Rajput… - Medical & Biological …, 2023 - Springer
Automatic brain tumor detection is a challenging task as tumors vary in their position, mass,
nature, and similarities found between brain lesions and normal tissues. The tumor detection …

Revealing brain tumor with federated learning

L Caroprese, T Ruga, E Vocaturo… - … on Bioinformatics and …, 2023 - ieeexplore.ieee.org
Brain and other nervous system cancer ranks as the tenth most common cause of death.
According to estimates, primary cancerous brain and central nervous system tumors will be …

[HTML][HTML] Advancements in brain tumor identification: Integrating synthetic GANs with federated-CNNs in medical imaging analysis

N Alalwan, A Alwadain, AI Alzahrani… - Alexandria Engineering …, 2024 - Elsevier
Brain tumors are a significant health concern worldwide, necessitating accurate and timely
diagnosis for effective treatment planning and management. However, conventional …

[PDF][PDF] Brain tumor detection using deep learning

A Shivdikar, M Shirke, I Vodnala… - Int. J. Res. Appl. Sci. Eng …, 2022 - academia.edu
Tumors are now the second major cause of cancer. A huge percentage of patients are in
danger as more than just a consequence of cancer. The medical field needs fast, automated …

Brain Tumor Detection using RCNN and MobileNet

BN Swamy, P Dedeepya, JC Sekhar… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
This study examines the identification and categorization of brain tumors by analyzing
medical images. Based on their origin, it is said that brain tumors, which are an uncontrolled …