Microwave Spectroscopy of Melanoma Progression Model
Bibliographic record
Abstract
Microwave spectroscopy has shown promise as a novel diagnostic tool for skin anomaly characterization. Due to their increased water content, tumors exhibit dielectric properties that are in contrast to those of the surrounding healthy tissue. In case of melanoma, there is a danger of the cancerous lesion to grow into the deeper skin layers, while still appearing small on the skin surface. We here present a progression model of the melanoma growth, construct tissuemimicking phantoms of several stages of progressing melanoma and characterize them with the microwave probe in the 0.5 – 26.5 GHz range. Our results indicate that the dielectric measurement on the surface of the skin at the location and in the vicinity of a suspicious lesion may reveal in-depth cancerous tumor progression. Thereby, a microwave-based tool can aid the dermatologist in diagnosing melanoma in time before its growth reaches layers containing lymph nodes and blood vessels.
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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".