API Playground

Upload breast mammogram scans for AI-powered breast cancer screening, pathology classification, and clinical triage.

Click to upload or drag and drop

PNG or JPG — max 20 MB

Configuration & Metadata

AI Model Routing

Triage Level Override

Low Moderate High

Confidence Threshold: 85%

Live Analysis Monitor

Interactive breast cancer pathology metrics, segmentation heatmaps, and JSON telemetry.

JSON Response

{
  "status": "200 OK",
  "waiting": "API Request has not been sent yet."
}

Abnormality Type

Prediction

Confidence

Mass: | Calcification:

Pathology

Prediction

Confidence

Benign: | Malignant:

Specimen Visualization Matrix

Original Mammography Scan

AI Saliency Detection Heatmap

Segmentation Mask

Mask Overlay

Region coverage: of image area

Clinical Report

Generated by

Full Report Ready

Preview and personalise your PDF clinical report before downloading.

API Usage Analytics

Real-time telemetry and API consumption metrics.

Total API Requests

14,204

+12.4% this week

Avg. Response Time

2.41s

-8.2% latency drop

Success Rate

99.82%

Active

Remaining Credits

$48.50

Renew Soon

Request Volume Over Time (Past 7 Days)

May 21 May 22 May 23 May 24 May 25 May 26 May 27 (Today)

Recent API Transactions

Timestamp	Endpoint	Status	Latency	Model
2026-05-27 19:04:12	`POST /v1/analyze-mammogram`	200 OK	2.31s	`deepmammo-v1-resnet`
2026-05-27 18:59:04	`POST /v1/analyze-mammogram`	200 OK	2.45s	`deepmammo-v1-resnet`
2026-05-27 18:44:31	`POST /v1/analyze-mammogram`	500 Server Error	0.12s	`deepmammo-v2-vit`
2026-05-27 18:12:05	`GET /v1/models`	200 OK	0.08s	`—`

API Credentials Manager

Generate, secure, and manage API keys for your applications.

Create Access Credential

⚠ Secure your credentials. Keys are displayed once upon creation and cannot be recovered if lost.

Active Credentials

Name	Created	Secret Token	Scope	Actions

API Documentation & SDK Specs

Integrate DeepMammo AI inference directly into your workflows and applications.

POST /api/predict/

Submit a standard mammogram scan to run the full deep learning abnormality classifier, pathology segmenter, and Groq-powered diagnostic narrative generator.

Request Body (Multipart Form)

Field	Type	Required	Description
`image`	Binary File	Required	Mammogram scan (PNG or JPEG format, maximum file size 20 MB).
`model_routing`	String	Optional	Route to a specific backend classifier model. Options: `deepmammo-v1-resnet`, `deepmammo-v2-vit`.
`confidence_threshold`	Float	Optional	Classifier trigger threshold. Value range: `0.50` to `0.99`. Default is `0.85`.
`patient_info`	JSON String	Optional	Serialized metadata overrides (Name, ID, Referring Physician) to inject into PDF summaries.

Code Execution Recipe

curl -X POST http://127.0.0.1:8000/api/predict/ \\
  -H "Authorization: Bearer sk_live_dev_8f2d4e9a1b7c093f12" \\
  -F "image=@scan.png" \\
  -F "model_routing=deepmammo-v1-resnet" \\
  -F "confidence_threshold=0.85"