Back to search

Article

Transfer Learning for Brain Tumor MRI Classification Using VGG16: A Comparative and Explainable AI Approach

2025-06-30

Abstract excerpt

Brain tumor detection through magnetic resonance imaging (MRI) is a difficult investigation to conduct. Developing a fast and reliable clinical decision making tool is paramount. Modern techniques like deep learning and convolutional neural networks (CNNs) have demonstrated great promise in automating the process of detecting tumor masses from MRI scans. In this study, we train a VGG16-based CNN, merging two publi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a3caa489-b976-5181-87d3-8ec3579590c6
DOI
10.20944/preprints202504.2505.v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Transfer Learning for Brain Tumor MRI Classification Using VGG16: A Comparative and Explainable AI ApproachDOI 10.20944/preprints202504.2505.v2
Select a neighboring publication to make it the new centre.