MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies

Irish Danielle Morales; Carlo Joseph Echon; Angelico Ruiz Teaño; Raphael Alampay; Patricia Angela Abu

doi:10.1145/3663976.3664235

MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies

Irish Danielle Morales, Carlo Joseph Echon, Angelico Ruiz Teaño, Raphael Alampay, Patricia Angela Abu

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400716607
DOIs	https://doi.org/10.1145/3663976.3664235
State	Published - Apr 26 2024
Event	2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition, CVIPPR 2024 - Xiamen, China Duration: Apr 26 2024 → Apr 28 2024

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition, CVIPPR 2024
Country/Territory	China
City	Xiamen
Period	4/26/24 → 4/28/24

ASJC Scopus Subject Areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Keywords

bone scintigrams
convolutional neural networks
lightweight networks
metastasis

Access to Document

10.1145/3663976.3664235

Cite this

Morales, I. D., Echon, C. J., Teaño, A. R., Alampay, R., & Abu, P. A. (2024). MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies. In CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition Article 55 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3663976.3664235

MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies. / Morales, Irish Danielle; Echon, Carlo Joseph; Teaño, Angelico Ruiz et al.
CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition. Association for Computing Machinery, 2024. 55 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Morales, ID, Echon, CJ, Teaño, AR, Alampay, R & Abu, PA 2024, MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies. in CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition., 55, ACM International Conference Proceeding Series, Association for Computing Machinery, 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition, CVIPPR 2024, Xiamen, China, 4/26/24. https://doi.org/10.1145/3663976.3664235

Morales ID, Echon CJ, Teaño AR, Alampay R, Abu PA. MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies. In CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition. Association for Computing Machinery. 2024. 55. (ACM International Conference Proceeding Series). doi: 10.1145/3663976.3664235

Morales, Irish Danielle ; Echon, Carlo Joseph ; Teaño, Angelico Ruiz et al. / MobileLookNet : A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies. CVIPPR 2024 - 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition. Association for Computing Machinery, 2024. (ACM International Conference Proceeding Series).

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MobileLookNet: A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis Using Feature Fusion and Attention Strategies

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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