# Deep Convolutional Neural Networks (CNN) for Medical Image Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-convolutional-neural-networks-cnn-for-medical-image-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deepa Kumari,S. P. Chokkalingam |
| Citations | 9 |
| DOI | 10.2139/ssrn.3894929 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.2139/ssrn.3894929 |
| OpenAlex ID | https://openalex.org/W3191258408 |
| Type | preprint |
| Year | 2019 |

## Paper authors

- [S. P. Chokkalingam](https://scholariq.org/researchers/s-p-chokkalingam/)

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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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.