# Tanzila Saba

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/tanzila-saba/

## Facts

| Field | Value |
| --- | --- |
| Citations | 21,594 |
| Field | AI in cancer detection |
| h-index | 82 |
| i10-index | 319 |
| Last Known Institution | Prince Sultan University |
| OpenAlex ID | https://openalex.org/A5018549351 |
| ORCID iD | https://orcid.org/0000-0003-3138-3801 |
| Works | 477 |

## Researcher papers

- [Medical Image Segmentation Methods, Algorithms, and Applications](https://scholariq.org/papers/medical-image-segmentation-methods-algorithms-and-applications/)
- [Microscopic brain tumor detection and classification using <scp>3D CNN</scp> and feature selection architecture](https://scholariq.org/papers/microscopic-brain-tumor-detection-and-classification-using-scp-3d-cnn-scp-and/)
- [Human action recognition using fusion of multiview and deep features: an application to video surveillance](https://scholariq.org/papers/human-action-recognition-using-fusion-of-multiview-and-deep-features-an/)
- [Brain tumor detection and multi‐classification using advanced deep learning techniques](https://scholariq.org/papers/brain-tumor-detection-and-multi-classification-using-advanced-deep-learning/)
- [Energy Efficient Multipath Routing Protocol for Mobile Ad-Hoc Network Using the Fitness Function](https://scholariq.org/papers/energy-efficient-multipath-routing-protocol-for-mobile-ad-hoc-network-using-the/)
- [A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection](https://scholariq.org/papers/a-sustainable-deep-learning-framework-for-object-recognition-using-multi-layers/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

## Researcher university

- [Prince Sultan University](https://scholariq.org/institutions/prince-sultan-university/)

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