Model overview
Medical image segmentation project using various U-Net architectures to segment microscopic tissue images from the PUMA dataset. Handles multi-class segmentation for both tissue structures and nuclei types. Contains: - Microscopic tissue images - Coordinate data for segmented regions - Color-coded mask images - Limited samples (addressed via augmentation) python { "background", "nuclei_apoptosis", "nuclei_endothelium", "nuclei_epithelium", "nuclei_histiocyte", "nuclei_lymphocyte", "nuclei_melanophage", "nuclei_neutrophil", "nuclei_plasma_cell", "nuclei_stroma", "nuclei_tumor" } ```
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。