Evaluation of 3-D Acquisition Surfaces for Radar-Based Microwave Breast Imaging
Bibliographic record
Abstract
This study investigates the impact that the acquisition surface has on the internal coverage of an object in the context of radar-based near-field microwave (MW) breast imaging. We define an acquisition surface as the surface over, which data are collected. Three different three-dimensional (3-D) data acquisition surfaces are investigated: 1) cylindrical, 2) hemispherical, and 3) patient specific. Three 3-D numerical breast models are used for the study. A realistic ultra-wideband (UWB) antenna generates incident fields and records the total fields. The responses from targets are analyzed, and object coverage is evaluated in terms of range distances, cross-range distances, and cumulative radiated power directed into the object by the antenna array embedded in the acquisition surface. Images are formed to verify these observations. We demonstrate that a patient-specific acquisition surface provides greater responses from targets, superior object coverage and improved images compared to the other acquisition surfaces studied.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".