Spatial Resolution Evaluation of a Microwave System for Breast Cancer Screening
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ability of microwave breast imaging to achieve sub-centimeter spatial resolution has been proven before in simulation and simple experimental studies. However, detecting sub-centimeter tumours depends not only on the theoretical spatial resolution limit, but also on the level of background clutter and measurement uncertainty. Therefore, estimating the actual limit of the smallest detectable object in a specific measurement setup is critical before the setup can be deployed in a clinical scenario. Here, we present a method of such evaluation on a planar microwave imaging setup for breast cancer imaging. The method utilizes the measurement of a small scattering probe of known size and permittivity in a uniform embedding medium. The contrast-to-noise ratio (CNR) of the generated point spread function can then be evaluated to determine the system-specific spatial resolution. The effectiveness of this approach is demonstrated in an experimental study of a compressed-breast phantom. This method can be applied to evaluate the limit of the size of detectable objects for other acquisitions systems, e.g. hemispherical or cylindrical antenna configurations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it