A time- and temperature-stable complex breast phantom for microwave breast imaging
Bibliographic record
Abstract
Microwave imaging has been proposed for breast imaging. At the University of Calgary, a tissue sensing adaptive radar (TSAR) system is being developed [J. Bourqui, J. Sill and E. Fear, Int Jour Biomedical Imaging, 12 pages, 2012]. This system uses the reflections of microwaves from different tissue types to create images related to the electromagnetic properties, which are then used to identify anomalies that may correspond to tumors. To test this system, physical breast models with similar dielectric properties to human breasts are required. These phantoms are difficult to create due to the relatively high dielectric properties of human tissue, the complex inner structure of the breast and the need to position the phantom within the scanner. One popular method of creating breast phantoms is using gelatin mixtures (e.g. [M. Lazebnik et al., Phys Med Biol, 52, pg. 6093–6115, 2007]). These mixtures can create highly-accurate breast phantoms; however, the gelatin mixtures lack physical robustness, they need to be cooled and ultimately they will breakdown over time. There is a need for a new approach to create phantoms that will have similar dielectric properties to the breast, will have complex inner structures, and yet will not decay over time.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".