A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy‐preserving federated learning

Ş Ay, E Ekinci, Z Garip - International Journal of Imaging …, 2024 - Wiley Online Library
The healthcare industry has found it challenging to build a powerful global classification
model due to the scarcity and diversity of medical data. The leading cause is privacy, which …

Deep Learning Approaches for Brain Tumor Detection in MRI Scans: A Comparative Study of DenseNet and ResNet101 Architectures

K Swetha, A Seenu - … on Smart Systems for applications in …, 2024 - ieeexplore.ieee.org
Brain tumors pose a serious threat to healthcare, requiring early discovery in order to plan
treatments and manage patients. This work presents a novel method for identifying brain …

[HTML][HTML] BEYİN MR GÖRÜNTÜLERİNDEN TÜMÖR TESPİTİ İÇİN DERİN ÖĞRENMEYE DAYALI HİBRİT MODELLER

İ Özcan, S Öztürk - Kahramanmaraş Sütçü İmam Üniversitesi …, 2023 - jes.ksu.edu.tr
İnsan hücrelerinin aşırı bölünmeye bağlı anormal bir şekilde çoğalmasına tümör
denmektedir. Vücudun birçok noktasında oluşabilen tümörler, oluştuğu yere göre tehlikelilik …

[PDF][PDF] A Review on Multimodal Brain Abnormality Detection Using Deep Learning

A Kesharwani, R Shivhare - … Technology and Medical Sciences (ISSN: 2582 …, 2023 - rjetm.in
Clinical diagnosis has become very significant in today's health system. The most serious
disease and the leading cause of mortality globally is considering brain abnormality are …

[PDF][PDF] Comprehensive Exploration of Deep Learning Techniques for Accurate Detection and Diagnosis of Brain Abnormalities

P Mandekar, C Agrawal, P Lovanshi - researchgate.net
In the modern healthcare system, precise clinical diagnosis is essential, particularly for
diseases like brain cancer, tumors, and other anomalies that are among the world's leading …