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cell-segmentation-bbbc038 – AI Model by mziarehman4353 | AlphaNeural AI

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mziarehman4353/
cell-segmentation-bbbc038

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image-segmentation

medical-imaging

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🧬 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