Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms

Anastasios Dounis, Andreas-Nestor Avramopoulos, Maria Kallergi

Open source

DOI: 10.3390/app131810401
Published: 09
Container: Applied Sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/app131810401,
  title = {Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms},
  author = {Anastasios Dounis and Andreas-Nestor Avramopoulos and Maria Kallergi},
  year = {2023},
  journal = {Applied Sciences},
  doi = {10.3390/app131810401},
  url = {https://doi.org/10.3390/app131810401}
}

RIS

TY  - JOUR
TI  - Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms
AU  - Anastasios Dounis
AU  - Andreas-Nestor Avramopoulos
AU  - Maria Kallergi
PY  - 2023
JO  - Applied Sciences
DO  - 10.3390/app131810401
UR  - https://doi.org/10.3390/app131810401
ER  -

APA

Dounis, A., Avramopoulos, A., & Kallergi, M. (2023). Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms. Applied Sciences. https://doi.org/10.3390/app131810401

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doaj · retrieved 2026-09-26T09:10:18.877Z