# Review of computer‐assisted diagnosis model to classify follicular lymphoma histology

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/review-of-computer-assisted-diagnosis-model-to-classify-follicular-lymphoma/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pranshu Saxena,Sahil Kumar Aggarwal,Amit Sinha,Sandeep Saxena,Arun Kumar Singh |
| Citations | 7 |
| DOI | 10.1002/cbf.4088 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cbf.4088 |
| OpenAlex ID | https://openalex.org/W4400429577 |
| PMID | 38973163 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Amit Sinha](https://scholariq.org/researchers/amit-sinha/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Cervical Cancer and HPV Research](https://scholariq.org/topics/cervical-cancer-and-hpv-research/)

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