High resolution amplified pixel sensor architectures for large area digital mammography tomosynthesis
Bibliographic record
Abstract
Amplified Pixel Sensor (APS) architectures using two transistors per pixel are introduced in this research for digital mammography tomosynthesis that requires high resolution and low noise imaging capability. The fewer number of on-pixel elements and reduced pixel complexity result in a smaller pixel pitch and higher gain, which makes the two-transistor (2T) APS architectures promising for high resolution, low noise and high speed digital imaging including medical imaging modalities such as tomosynthesis and cone beam computed tomography. Measured results from in-house fabricated test arrays using amorphous silicon (a-Si) thin film transistor (TFTs) are presented as well as driving schemes for minimizing the threshold voltage metastability problem and increasing frame rate. The results indicate that a pixel input referred noise value of down to 220 electrons is achievable with a 50μm pixel pitch a-Si 2T APS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".