Signatures in Breast Cancer Diagnosis and Applications
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 6750
Special Issue Editors
Interests: microwave tomography; microwave breast cancer imaging; microwave medical device development; electromagnetic diagnostics; inverse scattering problems
Interests: microwave dielectric spectroscopy; microwave diagnostics; evolutionary optimization techniques; wearable and implantable antennas
Special Issue Information
Dear Colleagues,
Breast cancer constitutes 30% of all cancer types diagnosed in women. It is also the leading cause of cancer-related deaths among women. The early detection of the disease is crucial to increase the treatment performance and survival rate of women diagnosed with breast cancer. Traditional diagnostic technologies such as mammography have been proven to be reliable screening tools. Screening mammography is only recommended to women over 40 years old due to the harmful effects of ionizing radiation. However, an increasing number of breast cancer diagnoses are starting to be made in women at their early twenties. Therefore, the current screening technologies must be improved, and new methods need to be developed to increase the diagnostic accuracy and to enable the early diagnosis of breast cancer.
To this end, the goal of this Special Issue is to focus on the novel technologies and improvement in current methods which will enable improved early breast cancer diagnostics for women in their early twenties. Research regarding the improvement of the current diagnostics technologies such as mammography, magnetic resonance imaging (MRI) and ultrasound improved with artificial intelligence, as well as new medical diagnostics technologies including microwave imaging, impedance tomography, biomarker studies and others are welcome. Early animal studies or clinical trials of new methodologies are also welcome. This Special Issue will accept both review and original research articles.
We look forward to receiving your contributions.
Prof. Dr. Ibrahim Akduman
Dr. Tuba Yilmaz
Dr. Onur Bugdayci
Guest Editors
Manuscript Submission Information
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Keywords
- novel applications in early breast cancer diagnosis
- clinical testing of breast cancer diagnostic devices
- breast cancer biomarkers
- AI-aided radiodiagnostics
- microwave medical imaging
- microwave medical diagnostics
- RF/microwave therapeutics
- dielectric property characterization
- electromagnetic detection and diagnosis
- breast cancer research
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