# A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-approach-for-fully-automatic-intra-tumor-segmentation-with-3d-u-net/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ujjwal Baid,Sanjay N. Talbar,Swapnil Rane,Sudeep Gupta,Meenakshi Thakur,Aliasgar Moiyadi,Nilesh Sable,Mayuresh Akolkar,Abhishek Mahajan |
| Citations | 104 |
| DOI | 10.3389/fncom.2020.00010 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fncom.2020.00010/pdf |
| OpenAlex ID | https://openalex.org/W3008111068 |
| PMID | 32132913 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Abhishek Mahajan](https://scholariq.org/researchers/abhishek-mahajan/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-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.