# Fully convolutional neural networks for polyp segmentation in colonoscopy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fully-convolutional-neural-networks-for-polyp-segmentation-in-colonoscopy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Patrick Brandão,Evangelos B. Mazomenos,Gastone Ciuti,Renato Caliò,Federico Bianchi,Arianna Menciassi,Paolo Dario,Anastasios Koulaouzidis,Alberto Arezzo,Danail Stoyanov |
| Citations | 177 |
| DOI | 10.1117/12.2254361 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://discovery.ucl.ac.uk/1540136/7/Rosa%20Brandao_101340F.pdf |
| OpenAlex ID | https://openalex.org/W2593488799 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Arianna Menciassi](https://scholariq.org/researchers/arianna-menciassi/)
- [Evangelos B. Mazomenos](https://scholariq.org/researchers/evangelos-b-mazomenos/)

## Paper journal

- [Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE](https://scholariq.org/journals/proceedings-of-spie-the-international-society-for-optical-engineering/)

## Paper primary topic

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Paper topics

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)

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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.