Research map / Label-efficient and robust learning / OOD and anomaly detection
Multi-Cell Detection and Classification Using a Generative Convolutional Model
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Granulocytes - normal | mean absolute error: 31.1 -> 4.5 | Helped |
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Lymphocytes - normal | mean absolute error: 9.5 -> 4.6 | Helped |
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Monocytes - normal | mean absolute error: 21.9 -> 4.7 | Helped |
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Granulocytes - all | mean absolute error: 30.1 -> 6.8 | Helped |
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Lymphocytes - all | mean absolute error: 8.3 -> 5.6 | Helped |
| Use class-proportion priors in convolutional sparse coding instead of CSC without priors (ablation) | WBC population classification · Monocytes - all | mean absolute error: 22.3 -> 5.5 | Helped |
Closest papers by meaning
- Uni-Hema: Unified Model for Digital Hematopathology (CVPR 2026 · similarity 0.83)
- ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images (CVPR 2024 · similarity 0.81)
- MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays (NeurIPS 2026 · similarity 0.81)
- Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention (CVPR 2025 · similarity 0.81)
- Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding (NeurIPS 2024 · similarity 0.81)
- BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature (CVPR 2025 · similarity 0.81)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.