Enhancing Brain Tumor Detection Through Custom Convolutional Neural Networks and Interpretability-Driven Analysis

Enhancing Brain Tumor Detection Through Custom Convolutional Neural Networks and Interpretability-Driven Analysis

Brain tumor detection is crucial for effective treatment planning and improved patient outcomes. However, existing methods often face challenges, such as limited interpretability and class imbalance in medical-imaging data. This study presents a novel, custom Convolutional Neural Network (CNN) archi...

Full description

Saved in:
Bibliographic Details
Main Authors: Kavinda Ashan Kulasinghe Wasalamuni Dewage, Raza Hasan, Bacha Rehman, Salman Mahmood
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Information
Subjects:
brain tumor detection
convolutional neural networks
interpretability
class imbalance
medical imaging
Online Access:https://www.mdpi.com/2078-2489/15/10/653
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2078-2489/15/10/653

Similar Items