Breast Microwave Imaging and Focusing Based on Range Migration Techniques
Bibliographic record
Abstract
In many parts of the world, breast cancer is the leading cause of morbidity and mortality among women and it is the major cause of cancer death, next only to lung cancer. Despite significant progress on mammographic techniques for breast imaging and cancer detection, limitations do persist and other alternative methods such as magnetic resonance imaging have been explored. The motivation of this work is to propose the use of alternative focusing methods when using microwave imaging, a technique that has shown promising results. We show results obtained using conventional ground penetrating radar techniques that the authors have explored recently using a phantom that mimics breast and cancer tissue. We have reformulated the problem so that the scanning occurs in a circular path with a set of N antennas that surrounds the target in order to follow a more natural shape of the breast. In this way, scatterers are illuminated most of the time and focusing can be performed in such a way that the coherent summation in a SAR technique yields a high resolution image.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".