Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation
Visual analysis demonstrated clearer, more continuous, and uniform fluorescence signals, effectively mitigating fragmentation and uneven distribution. These improvements reduced false negatives and enhanced genomic abnormality detection accuracy. The proposed method significantly improves FISH signal clarity and stability, providing reliable support for cancer screening, genomic abnormality detection, molecular typing, prognosis evaluation, and targeted treatment planning.
Authors
- D. Song (ORCID: https://orcid.org/0009-0002-2700-2359)
- Lin Shi (ORCID: https://orcid.org/0000-0001-9709-3394)
- Mingye Li (ORCID: https://orcid.org/0000-0003-3629-1172)
- Hao Zhang (ORCID: https://orcid.org/0000-0001-5330-8218)
- Zhe Wang (ORCID: https://orcid.org/0000-0001-6271-9692)
- Xin Feng (ORCID: https://orcid.org/0000-0002-0016-2507)
- Ping Gong (ORCID: https://orcid.org/0000-0002-9266-3295)
Institutions
- Changchun University of Science and Technology (CN)
- The University of Melbourne (AU)
- RMIT University (AU)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1007/s00432-025-06150-9
- Citations
- 2
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.27
Funders
- Jilin Scientific and Technological Development Program