# Hybrid Deep Learning Techniques for Enhanced Detection of Tumors and Abnormalities in Medical Imaging Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-deep-learning-techniques-for-enhanced-detection-of-tumors-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheetal Vijay Kulkarni,Malik Bader Alazzam,Anuja G Gunale,Sattar Jabar Daham Wassif,Abdalsalam Taha Hussain Ali,P. Nagaraj |
| Citations | 0 |
| DOI | 10.1109/giest66547.2025.11387664 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7130716377 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Anuja G Gunale](https://scholariq.org/researchers/anuja-g-gunale/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.