RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN
- DOI
- 10.1088/1757-899x/981/2/022012
- Published
- 2020-12-01
- Container
- IOP Conference Series: Materials Science and Engineering
- Publisher
- IOP Publishing
- Open access
- unknown
Credibility signals
serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
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- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1088/1757-899x/981/2/022012,
title = {RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN},
author = {M. Jogendra Kumar and N. Raghavendra Sai and Ch. Smitha Chowdary},
year = {2020},
journal = {IOP Conference Series: Materials Science and Engineering},
doi = {10.1088/1757-899x/981/2/022012},
url = {https://doi.org/10.1088/1757-899x/981/2/022012}
}RIS
TY - JOUR TI - RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN AU - M. Jogendra Kumar AU - N. Raghavendra Sai AU - Ch. Smitha Chowdary PY - 2020 JO - IOP Conference Series: Materials Science and Engineering DO - 10.1088/1757-899x/981/2/022012 UR - https://doi.org/10.1088/1757-899x/981/2/022012 ER -
APA
Kumar, M. J., Sai, N. R., & Chowdary, C. S. (2020). RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN. IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899x/981/2/022012
Source records
- crossref · retrieved 2026-09-25T16:29:05.727Z