Mr. Victor Dahlblom Profile

Victor Dahlblom

at Lund University/Skåne University Hospital

SPIE Involvement:

Author

Victor Dahlblom, MD, is a PhD student in Diagnostic Radiology, Department of Translational Medicine at Lund University, Malmö, Sweden, and a radiology resident at Skåne University Hospital Malmö, Sweden. He received his MD from University of Copenhagen, Denmark, in 2013 and his BSc in Technology focused on Biomedical Engineering from Lund University in 2015. His research focuses on evaluation of artificial intelligence systems in breast cancer screening, and development of a breast imaging database.

SPIE Journal Paper | 1 June 2023 Open Access

Personalized breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence

Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler

JMI, Vol. 10, Issue S2, S22408, (June 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.S2.S22408

KEYWORDS: Digital breast tomosynthesis, Cancer, Cancer detection, Artificial intelligence, Breast cancer, Breast, Medicine, Breast density, Tumor growth modeling, Mammography

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SPIE Journal Paper | 8 February 2023 Open Access

Malmö Breast ImaginG database: objectives and development

Victor Dahlblom, Magnus Dustler, Anetta Bolejko, Predrag R. Bakic, Henrik Granberg, Kristin Johnson, Daniel Förnvik, Kristina Lång, Anders Tingberg, Sophia Zackrisson

JMI, Vol. 10, Issue 06, 061402, (February 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.061402

KEYWORDS: Databases, Mammography, Cancer, Breast cancer, Diagnostics, Breast, Breast imaging, Digital breast tomosynthesis, Artificial intelligence, Tumors

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Proceedings Article | 13 July 2022 Paper

Correspondence between areas causing recall in breast cancer screening and artificial intelligence findings

Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler

Proceedings Volume 12286, 122860K (2022) https://doi.org/10.1117/12.2625731

KEYWORDS: Artificial intelligence, Cancer, Digital breast tomosynthesis, Breast cancer, System identification, Mammography, Radiology, Image analysis, Computer aided diagnosis and therapy, Breast

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Proceedings Article | 13 July 2022 Paper

Tumor growth rate estimations in a breast cancer screening population

Hanna Tomic, Akane Ohashi, Victor Dahlblom, Anna Bjerkén, Daniel Förnvik, Magnus Dustler, Sophia Zackrisson, Anders Tingberg, Predrag Bakic

Proceedings Volume 12286, 1228613 (2022) https://doi.org/10.1117/12.2625730

KEYWORDS: Tumors, Cancer, Mammography, Breast, Breast cancer, Medicine, Radiology, Image analysis

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Proceedings Article | 13 July 2022 Paper

Simultaneous digital breast tomosynthesis and mechanical imaging in women recalled from screening: a preliminary analysis

Rebecca Axelsson, Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler, Predrag Bakic

Proceedings Volume 12286, 1228607 (2022) https://doi.org/10.1117/12.2625715

KEYWORDS: Breast, Digital breast tomosynthesis, Radiology, Diagnostics, Cancer, Sensors, Medicine, Breast cancer, Pathology, Biopsy

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Proceedings Article | 22 May 2020 Paper

The effect of breast density on the performance of deep learning-based breast cancer detection methods for mammography

Magnus Dustler, Victor Dahlblom, Anders Tingberg, Sophia Zackrisson

Proceedings Volume 11513, 1151324 (2020) https://doi.org/10.1117/12.2564328

KEYWORDS: Breast, Cancer, Mammography, Breast cancer, Digital breast tomosynthesis, Tissues, Statistical analysis, Computer aided diagnosis and therapy, Medicine, Physics

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Proceedings Article | 22 May 2020 Paper

Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence

Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler

Proceedings Volume 11513, 115130C (2020) https://doi.org/10.1117/12.2564344

KEYWORDS: Digital breast tomosynthesis, Cancer, Artificial intelligence, Breast cancer, Breast, Software development, Mammography, Radiation effects, Medicine, Radiology

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