MU Net: Ovarian Follicle Segmentation Using Modified U-Net Architecture

Unknown, Debasmita Saha, Dr. Ardhendu Mandal, Unknown, Rinku Ghosh, Unknown

Open source

DOI: 10.35940/ijeat.d3419.0411422
Published: 2022-04-30
Container: International Journal of Engineering and Advanced Technology
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.35940/ijeat.d3419.0411422,
  title = {MU Net: Ovarian Follicle Segmentation Using Modified U-Net Architecture},
  author = {Unknown and Debasmita Saha and Dr. Ardhendu Mandal and Unknown and Rinku Ghosh and Unknown},
  year = {2022},
  journal = {International Journal of Engineering and Advanced Technology},
  doi = {10.35940/ijeat.d3419.0411422},
  url = {https://doi.org/10.35940/ijeat.d3419.0411422}
}

RIS

TY  - JOUR
TI  - MU Net: Ovarian Follicle Segmentation Using Modified U-Net Architecture
AU  - Unknown
AU  - Debasmita Saha
AU  - Dr. Ardhendu Mandal
AU  - Unknown
AU  - Rinku Ghosh
AU  - Unknown
PY  - 2022
JO  - International Journal of Engineering and Advanced Technology
DO  - 10.35940/ijeat.d3419.0411422
UR  - https://doi.org/10.35940/ijeat.d3419.0411422
ER  -

APA

Unknown, Saha, D., Mandal, D. A., Unknown, Ghosh, R., & Unknown (2022). MU Net: Ovarian Follicle Segmentation Using Modified U-Net Architecture. International Journal of Engineering and Advanced Technology. https://doi.org/10.35940/ijeat.d3419.0411422

Source records

crossref · retrieved 2026-09-27T15:35:24.019Z