Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification

Swailem Neil Angelo G. Lumba; Raphael B. Alampay; Patricia Angela R. Abu

doi:10.1117/12.3109253

Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification

Swailem Neil Angelo G. Lumba
, Raphael B. Alampay
, Patricia Angela R. Abu

Ateneo Laboratory for Intelligent Visual Environments

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

Original language	English
Title of host publication	Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026
Editors	Andrew Robert Harvey
Publisher	SPIE
ISBN (Electronic)	9798902324065
DOIs	https://doi.org/10.1117/12.3109253
State	Published - May 7 2026
Externally published	Yes
Event	7th International Conference on Computer Vision and Computational Intelligence, CVCI 2026 - Sapporo, Japan Duration: Jan 9 2026 → Jan 11 2026

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	14176
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	7th International Conference on Computer Vision and Computational Intelligence, CVCI 2026
Country/Territory	Japan
City	Sapporo
Period	1/9/26 → 1/11/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Instrumentation
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Keywords

cnn-transformers
convolutional neural networks
global and local features
vision transformers

Access to Document

10.1117/12.3109253

Cite this

Lumba, S. N. A. G., Alampay, R. B., & Abu, P. A. R. (2026). Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification. In A. R. Harvey (Ed.), Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026 Article 1417608 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 14176). SPIE. https://doi.org/10.1117/12.3109253

Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification. / Lumba, Swailem Neil Angelo G.; Alampay, Raphael B.; Abu, Patricia Angela R.
Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026. ed. / Andrew Robert Harvey. SPIE, 2026. 1417608 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 14176).

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

Lumba, SNAG, Alampay, RB & Abu, PAR 2026, Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification. in AR Harvey (ed.), Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026., 1417608, Proceedings of SPIE - The International Society for Optical Engineering, vol. 14176, SPIE, 7th International Conference on Computer Vision and Computational Intelligence, CVCI 2026, Sapporo, Japan, 1/9/26. https://doi.org/10.1117/12.3109253

Lumba, Swailem Neil Angelo G. ; Alampay, Raphael B. ; Abu, Patricia Angela R. / Conv-Former : A lightweight CNN-Transformer for osseous metastasis classification. Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026. editor / Andrew Robert Harvey. SPIE, 2026. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{e7e530b5878e40589b0ed58dce5742a6,

title = "Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification",

keywords = "cnn-transformers, convolutional neural networks, global and local features, vision transformers",

author = "Lumba, \{Swailem Neil Angelo G.\} and Alampay, \{Raphael B.\} and Abu, \{Patricia Angela R.\}",

note = "Publisher Copyright: {\textcopyright} 2026 SPIE.; 7th International Conference on Computer Vision and Computational Intelligence, CVCI 2026 ; Conference date: 09-01-2026 Through 11-01-2026",

year = "2026",

month = may,

day = "7",

doi = "10.1117/12.3109253",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Harvey, \{Andrew Robert\}",

booktitle = "Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026",

}

TY - GEN

T1 - Conv-Former

T2 - 7th International Conference on Computer Vision and Computational Intelligence, CVCI 2026

AU - Lumba, Swailem Neil Angelo G.

AU - Alampay, Raphael B.

AU - Abu, Patricia Angela R.

PY - 2026/5/7

Y1 - 2026/5/7

KW - cnn-transformers

KW - convolutional neural networks

KW - global and local features

KW - vision transformers

UR - https://www.scopus.com/pages/publications/105039903108

UR - https://www.scopus.com/pages/publications/105039903108#tab=citedBy

U2 - 10.1117/12.3109253

DO - 10.1117/12.3109253

M3 - Conference contribution

AN - SCOPUS:105039903108

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Seventh International Conference on Computer Vision and Computational Intelligence, CVCI 2026

A2 - Harvey, Andrew Robert

PB - SPIE

Y2 - 9 January 2026 through 11 January 2026

ER -

Conv-Former: A lightweight CNN-Transformer for osseous metastasis classification

Publication series

Conference

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this