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Record W2460550619 · doi:10.1109/embsisc.2016.7508619

Proof of principle of a stokes polarimetry probe for skin lesion evaluation

2016· article· en· W2460550619 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsBC Cancer AgencySKiN Health
Fundersnot available
KeywordsPolarimetryStokes parametersPolarization (electrochemistry)Degree of polarizationOpticsImaging phantomAzimuthCircular polarizationEllipseLesionPhysicsMaterials scienceScatteringChemistryMedicine

Abstract

fetched live from OpenAlex

This paper covers two proof of principle trials in an ongoing project to develop a fast, portable, and low-cost optical probe that uses Stokes polarimetry to evaluate skin lesions. Polarization is a property of light waves that describes the orientation and shape of their oscillations. The polarization state can be described using Stokes parameters, and several measurements derived from these parameters such as the degree of polarization, the azimuth and ellipticity angles of the polarization ellipse, and the coordinates on a Poincaré sphere. The probe shines low-intensity polarization-controlled laser light at a lesion, and analyzes the backscattered light in order to detect how the light's polarization has been changed due to the light-tissue interaction. Testing with skin phantoms has demonstrated a relationship between phantom roughness and the degree of polarization. Preliminary testing on an in-vivo lesion showed that lesion sites demonstrated a lower degree of polarization as compared to normal skin. These results indicate our progress towards the development of a powerful and practical tool to assist skin lesion evaluation.

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 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: none
Teacher disagreement score0.797
Threshold uncertainty score0.159

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 head0.030
GPT teacher head0.293
Teacher spread0.263 · 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

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

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