Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50.

Luo Y, Zhang Y, Sun X, Dai H, Chen X

DOI: 10.1155/2021/2267635
Published: 2021
Container: Journal of healthcare engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2021/2267635,
  title = {Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50.},
  author = {Luo Y and Zhang Y and Sun X and Dai H and Chen X},
  year = {2021},
  journal = {Journal of healthcare engineering},
  doi = {10.1155/2021/2267635},
  url = {https://doi.org/10.1155/2021/2267635}
}

RIS

TY  - JOUR
TI  - Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50.
AU  - Luo Y
AU  - Zhang Y
AU  - Sun X
AU  - Dai H
AU  - Chen X
PY  - 2021
JO  - Journal of healthcare engineering
DO  - 10.1155/2021/2267635
UR  - https://doi.org/10.1155/2021/2267635
ER  -

APA

Y, L., Y, Z., X, S., H, D., & X, C. (2021). Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50.. Journal of healthcare engineering. https://doi.org/10.1155/2021/2267635

Source records

pubmed · retrieved 2026-09-25T13:10:16.271Z