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Record W2167639754 · doi:10.1109/aps.2001.958841

Volume sensing properties of open-ended coaxial probes for dielectric spectroscopy of breast tissue

2002· article· en· W2167639754 on OpenAlexaff
D. Popovic, M. Okoniewski, D. Hagl, John H. Booske, Susan C. Hagness

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Imaging and Scattering Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMaterials scienceDielectricMicrowaveCoaxialMicrowave imagingDielectric spectroscopyBreast tissueBiomedical engineeringCoaxial cableBiological tissueOpticsSpectroscopyBreast cancerNuclear magnetic resonanceOptoelectronicsChemistryCancerMedicineElectrodeComposite materialTelecommunicationsComputer sciencePhysics

Abstract

fetched live from OpenAlex

An ultrawideband microwave imaging approach to early breast cancer detection is based on the hypothesis that there exists a significant dielectric-properties contrast between cancerous and normal breast tissue at microwave frequencies. Definitive knowledge of the dielectric properties of breast tissue in the RF/microwave frequency range (0.1-20 GHz) is required for the development of novel technologies related to the detection and treatment of breast cancer. Coaxial probes have been extensively analyzed and used in dielectric spectroscopy. A careful analysis of the sensing volume of the probes used in our measurements on excised specimens is needed to ensure the highest possible accuracy in the dielectric properties estimates of human breast tissue. We present preliminary estimates of the sensing volume of small diameter coaxial probes. Results were obtained for 2.20 mm and 3.58 mm diameter probes, both without flanges. De-ionized water, methanol, and butanol were chosen as test liquids because their dielectric properties cover the expected range of permittivities of breast tissue. Our results suggest that relatively small tissue samples are sufficient to establish accurately their dielectric properties in the microwave frequency range up to 20 GHz, using small-diameter open-ended coaxial probes.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.223
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2002
Admission routes1
Has abstractyes

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