Official BGF-YOLO

This is the source code for the paper, "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection", early accepted by the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), of which I am the first author. The paper is available to download from Springer or arXiv.

Model

The Bilevel routing attention, Generalized feature pyramid networks, and Fourth detecting head You Only Look Once (BGF-YOLO) model configuration (i.e., network construction) file is bgf-yolo.yaml in the directory ./models/bgf.

The hyperparameter setting file is default.yaml in the directory ./yolo/cfg/.

Installation

Install requirements.txt in a Python >= 3.8 environment, including PyTorch >= 1.8.

pip install -r requirements.txt

Training CLI

python yolo/bgf/detect/train.py

Testing CLI

python yolo/bgf/detect/predict.py

Evaluation

We trained and evaluated BGF-YOLO on the dataset Br35H :: Brain Tumor Detection 2020. The .txt format annotations in the file dataset-Br35H.zip are coverted from original json format.

Referencing Guide

Please cite our paper if you use code from this repository. Here is a guide to referencing this work in various styles for formatting your references:

Plain Text

• Springer Reference Style
  Kang, M., Ting, C.-M., Ting, F.F., Phan, R.C.-W.: BGF-YOLO: enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection. In: Linguraru, M.G., et al. (eds.) MICCAI 2024. LNCS, vol. 15008, pp. 35–45. Springer, Cham (2024). https://doi.org/10.1007/978-3-031-72111-3_4
  ^{NOTE: MICCAI conference proceedings are part of the book series LNCS in which Springer's format for bibliographical references is strictly enforced. This is important, for instance, when citing previous MICCAI proceedings. LNCS stands for Lecture Notes in Computer Science.}

• Nature Reference Style
  Kang, M., Ting, C.-M., Ting, F. F. & Phan, R. C.-W. BGF-YOLO: enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2024: 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part VIII (eds. Linguraru, M. G. et al.) 35–45 (Springer, 2024).
  

• IEEE Reference Style
  M. Kang, C.-M. Ting, F. F. Ting, and R. C.-W. Phan, "Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection," in Proc. Int. Conf. Med. Image Comput. Comput. Assist. Interv. (MICCAI), Marrakesh, Morocco, Oct. 6–10, 2024, pp. 35–45.
  ^{NOTE: City of Conf., Abbrev. State, Country, Month & Day(s) are optional.}

• Elsevier Numbered Style
  M. Kang, C.-M. Ting, F.F. Ting, R.C.-W. Phan, BGF-YOLO: Enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection, in: M.G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, et al. (Eds.), Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6–10 October 2024, Marrakesh, Morocco, Springer, Cham, Germany, 2024, pp. 35–45.
  ^{NOTE: Day(s) Month Year, City, Abbrev. State, Country of Conference, Publiser, and Place of Publication are optional.}

• Harvard (Name–Date) Style
  Kang, M., Ting, C.-M., Ting, F.F., Phan, R.C.-W., 2024. BGF-YOLO: Enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection. In: M.G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, et al. (Eds.), Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6–10 October 2024, Marrakesh, Morocco. Springer, Cham, Germany, pp. 35–45.
  ^{NOTE: Day(s) Month Year, City, Abbrev. State, Country of Conference, Publiser, and Place of Publication are optional.}

BibTeX Format

\begin{thebibliography}{1}
\bibitem{Kang24Bgfyolo} Kang, M., Ting, C.-M., Ting, F.F., Phan, R.C.-W.: BGF-YOLO: enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection. In: Linguraru, M.G., et al. (eds.) MICCAI 2024. LNCS, vol. 15008, pp. 35--45. Springer, Cham (2024). {\UrlFont https://doi.org/10.1007/978-3-031-72111-3\_4}
\end{thebibliography}

@inproceedings{Kang24Bgfyolo,
  author = "Kang, Ming and Ting, Chee-Ming and Ting, Fung Fung and Phan, Rapha{\"e}l C.-W.",
  title = "{BGF-YOLO}: enhanced {YOLO}v8 with multiscale attentional feature fusion for brain tumor detection",
  editor = "Linguraru, Marius George and et al.",
  booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2024: 27th International Conference, Marrakesh, Morocco, October 6--10, 2024, Proceedings, Part VIII",
  series = "Lecture Notes in Computer Science (LNCS)",
  volume = "15008",
  pages = "35--45",
  publisher = "Springer",
  address = "Cham",
  year = "2024",
  doi= "10.1007/978-3-031-72111-3_4",
  url = "https://doi.org/10.1007/978-3-031-72111-3_4"
}

@inproceedings{Kang24Bgfyolo,
  author = "Ming Kang and Chee-Ming Ting and Fung Fung Ting and Rapha{\"e}l C.-W. Phan",
  title = "Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection",
  booktitle = "Proc. Int. Conf. Med. Image Comput. Comput. Assist. Interv. (MICCAI)",
  address = "Marrakesh, Morocco, Oct. 6--10",
  pages = "35--45",
  year = "2024",
}

^{NOTE: Please remove some optional BibTeX fields/tags such as series, volume, address, url, and so on if the LaTeX compiler produces an error. Author names may be manually modified if not automatically abbreviated by the compiler under the control of the bibliography/reference style (i.e., .bst) file. The BibTex citation key may be bib1, b1, or ref1 when references appear in numbered style in which they are cited. The quotation mark pair "" in the field could be replaced by the brace {}, whereas the brace {} in the BibTeX field/tag title plays a role of keeping letters/characters/text original lower/uppercases or sentence/capitalized cases unchanged while using Springer Nature bibliography style files, for example, sn-nature.bst.}

License

BGF-YOLO is released under the GNU Affero General Public License v3.0 (AGPL-3.0). Please see the LICENSE file for more information.

Copyright Notice

Many utility codes of our project base on the codes of Ultralytics YOLOv8, GiraffeDet, DAMO-YOLO, and BiFormer repositories.