# Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-automatic-surgical-step-recognition-in-intraoperative-videos/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daichi Kitaguchi,Nobuyoshi Takeshita,Hiroki Matsuzaki,Hiro Hasegawa,Takahiro Igaki,Tatsuya Oda,Masaaki Ito |
| Citations | 44 |
| DOI | 10.1007/s00464-021-08381-6 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00464-021-08381-6.pdf |
| OpenAlex ID | https://openalex.org/W3151046659 |
| PMID | 33825016 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Daichi Kitaguchi](https://scholariq.org/researchers/daichi-kitaguchi/)

## Paper journal

- [Surgical Endoscopy](https://scholariq.org/journals/surgical-endoscopy/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Colorectal Cancer Surgical Treatments](https://scholariq.org/topics/colorectal-cancer-surgical-treatments/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.