Radiology Analysis and Computational Pathology for Precision Oncology
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 21 March 2025 | Viewed by 85
Special Issue Editors
Interests: medical image analysis; imaging-genomics; machine learning; deep learning
Special Issue Information
Dear Colleagues,
The rapidly evolving fields of radiology analysis and computational pathology hold transformative potential for precision oncology, offering novel insights that can significantly impact patient diagnostics, prognosis, and treatment strategies. This Special Issue focuses on these two disciplines, aiming to harness their combined strengths to advance the accuracy and efficacy of cancer care.
The objective of this Special Issue is to bring together leading researchers and clinicians to share their latest findings, methodologies, and insights in the fields of radiology analysis and computational pathology. By highlighting cutting-edge research and its applications in clinical practice, this Special Issue aims to foster a deeper understanding of how these technologies can be effectively combined to enhance the precision of oncology treatments and improve patient outcomes.
Dr. Yuanshen Zhao
Dr. Qiuchang Sun
Guest Editors
Manuscript Submission Information
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Keywords
- radiomics
- radiogenomics
- radiopathomics
- computational pathology
- deep learning
- multimodal fusion
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