Unveiling Another Dimension: Advanced Visualization of Cancer Invasion and Metastasis via Micro-CT Imaging
Invasion and metastasis are well-known hallmarks of cancer, with metastatic disease accounting for 60% to 90% of cancer-related deaths [...].
Authors
- Mark Voloshin (ORCID: https://orcid.org/0000-0002-2302-3542)
- A.Yu. Maksimov (ORCID: https://orcid.org/0000-0002-9471-3903)
- Alexandra Dalina (ORCID: https://orcid.org/0000-0002-1413-7580)
- Sergey Tkachev (ORCID: https://orcid.org/0000-0002-8436-7250)
- Evgeniy V. Sadyrin
- Nikolay Karnaukhov (ORCID: https://orcid.org/0000-0003-0889-2720)
- Vladimir Brosalov
- O. M. Kit
- А. С. Гончарова (ORCID: https://orcid.org/0000-0003-0676-0871)
- A. N. Osipenko (ORCID: https://orcid.org/0000-0002-4763-3214)
- Elena Popova (ORCID: https://orcid.org/0000-0002-0988-512X)
- Peter S. Timashev (ORCID: https://orcid.org/0000-0001-7773-2435)
Institutions
- Engelhardt Institute of Molecular Biology (RU)
- Penza State University (RU)
- Sechenov University (RU)
- Siberian State Medical University (RU)
- Moscow Clinical Scientific Center (RU)
- Don State Technical University (RU)
- Research Institute of Human Morphology (RU)
- Rostov Research Institute of Oncology (RU)
Publication Details
- Journal
- Cancers
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3390/cancers17071139
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Russian Science Foundation