"A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D ..."

Ujjwal Baid et al. (2020)

> Home

Details and statistics

DOI: 10.3389/FNCOM.2020.00010

access: open

type: Journal Article

metadata version: 2022-04-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/ficn/BaidTRGTMSAM20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ficn/BaidTRGTMSAM20
Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.