Cell Segmentation Bbbc038

--- license: mit tags: - image-segmentation - medical-imaging - pytorch - unet - deeplabv3plus datasets: - bbbc038 metrics: - dice - iou --- # 🧬 Cell Segmentation & Classification (BBBC038) This model performs: - 🔹 Cell segmentation using DeepLabV3+ - 🔹 Cell classification (small vs large cells) ## 📊 Results - Dice Score: 0.85 - IoU Score: 0.74 - Classification Accuracy: 91% ## 🧠 Model - Backbone: ResNet34 - Architecture: DeepLabV3+ ## 🚀 Usage ```python import torch import segmentation_models_pytorch as smp model = smp.DeepLabV3Plus( encoder_name="resnet34", encoder_weights=None, classes=1 ) model.load_state_dict(torch.load("deeplabv3plus.pth")) model.eval() 📁 Dataset BBBC038 (Broad Bioimage Benchmark Collection) 👨‍💻 Author Zia Ul Rehman Zafar