Convolutional Neural Network with Packing Mechanism and Color Transfer Post Processing for Extended Depth of field Cervical Cytology Images
Why this work is in the frame
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Bibliographic record
Abstract
The application of deep learning to the microscopic Extended Depth of Field (EDoF) images generation is on the rise as an alternative to the traditional time-consuming method. In this research, the packing mechanism from the self-driving car field is incorporated into the cytology images problem. Additionally, color transfer algorithm was selected as a post-processing method. We proposed novel models for both grayscale and RGB images. The evaluation of the model is then compared with the state-of-the-art and significant improvement was discovered with the metrics of Mean Square Error (MSE), Root Mean Square Error (RMSE), Peak Signal-to-Noise-Ratio (PSNR), and Structural Similarity Index (SSIM).
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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) | 0.000 | 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 it