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PCam Lymph-Node Tumor Detector (ResNet18)

Image generationUnavailable
by CommunityModel ID: pcam-lymph-node-tumor-resnet18

ResNet18 from the TIA Toolbox zoo, trained on the PatchCamelyon (PCam) dataset of lymph-node histology patches from breast-cancer metastasis screening. It performs binary classification of a 96x96 H&E tile as tumor (metastatic tissue present) or normal. Research use only, not a diagnostic device.

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Status
Unavailable
Input → output
Text + Image → Image
Developer
Community
Updated
23 September 2026

PCam Lymph-Node Tumor Detector (ResNet18) is currently unavailable

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Playground

Try PCam Lymph-Node Tumor Detector (ResNet18)

Input & output

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Try PCam Lymph-Node Tumor Detector (ResNet18)

H&E lymph-node tile to screen for tumor

Output
Your image appears here.

This run

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About PCam Lymph-Node Tumor Detector (ResNet18)

TL;DRAs of 23 September 2026

PCam Lymph-Node Tumor Detector (ResNet18) is a model by Community in the Image generation category. PCam Lymph-Node Tumor Detector (ResNet18) is currently not available on Railwail.

PatchCamelyon is a widely used benchmark of 327,000 lymph-node patches derived from the Camelyon16 breast-cancer metastasis dataset. This timm ResNet18 checkpoint, re-hosted from the TIA Toolbox model zoo, predicts whether the center region of an H&E tile contains metastatic tumor tissue. It is a standard baseline for weakly-supervised metastasis detection and a compact, fast model for tumor-versus-normal patch screening experiments. Strictly research and education, not for clinical diagnosis.
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Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

05

API

Call PCam Lymph-Node Tumor Detector (ResNet18) with your Railwail API key. Use this model ID in the request:
pcam-lymph-node-tumor-resnet18API documentationGet an API key

No verified API example

The public API passes a different input format than this model needs. Use the playground above.

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Specifications

Model ID
pcam-lymph-node-tumor-resnet18
Developer
Community
Category
Image generation
Input
Text, Image
Output
Image
Catalog entry updated
23 September 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

  • imagerequired

    H&E lymph-node tile to screen for tumor

    Type: Text
    Default: –
    Allowed values: –

Tags

  • huggingface
  • medical
  • research
  • not-diagnostic
  • pathology
  • histopathology
  • breast-cancer
  • pcam
  • metastasis
  • tiatoolbox
  • resnet18
  • image-classification
  • image
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Use cases

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Frequently asked questions

What is PCam Lymph-Node Tumor Detector (ResNet18)?

PCam Lymph-Node Tumor Detector (ResNet18) is a model by Community in the Image generation category. It is listed on Railwail but cannot be run at the moment.

How much does PCam Lymph-Node Tumor Detector (ResNet18) cost on Railwail?

PCam Lymph-Node Tumor Detector (ResNet18) cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

Which settings does PCam Lymph-Node Tumor Detector (ResNet18) support?

According to its input schema, PCam Lymph-Node Tumor Detector (ResNet18) knows these parameters: image.

How fast is PCam Lymph-Node Tumor Detector (ResNet18)?

There are not enough measured runs of PCam Lymph-Node Tumor Detector (ResNet18) on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is PCam Lymph-Node Tumor Detector (ResNet18) better than FLUX 1.1 Pro?

That depends on the task. PCam Lymph-Node Tumor Detector (ResNet18) (Community) and FLUX 1.1 Pro (Black Forest Labs) are both models in the Image generation category. The comparison page shows their prices and specifications side by side.

Compare PCam Lymph-Node Tumor Detector (ResNet18) and FLUX 1.1 Pro

Can PCam Lymph-Node Tumor Detector (ResNet18) use an image as input?

Yes. Send the image in the image parameter.

Can I use PCam Lymph-Node Tumor Detector (ResNet18) right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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