calcifications-model Computer Vision Model
How to use the calcifications-model Detection API
Try This Model
Drop an image here or click to upload
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="calcifications-model/1")Or, Use Free Benigno and Maligno Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "benigno, maligno"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
About calcifications-model Model
Here are a few use cases for this project:
-
Healthcare Research: Researchers can use the "calcifications-model" to analyze medical imaging datasets for studies on the occurrence, distribution, and patterns of benign and malignant calcifications, aiding in the understanding of disease progression and prediction models.
-
Radiology Departments: The model can assist radiologists in enhancing their diagnostic accuracy. It can automatically flag potential maligno-benign calcifications in patients' medical images, allowing radiologists to focus on complex cases.
-
Medical Education: It can be used as a teaching tool in medical schools. Students can apply the model to learn and understand the characteristics and visual differences between maligno and benigno calcifications.
-
Healthcare Software Development: Companies developing medical imaging software can utilize the model to add an automated benign-malign maligno calcification detection feature in their products to help radiologists and medical professionals improve efficiency and patient care.
-
Early Cancer Detection Screening: The model can be integrated into routine screening programs, particularly in breast and lung cancer screenings, to early identify malignant calcifications, this could lead to early treatment and potentially save lives.
Tell the agent what you want to build.
Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ calcifications-model_dataset,
title = { calcifications-model Dataset },
type = { Open Source Dataset },
author = { univalle },
howpublished = { \url{ https://universe.roboflow.com/univalle/calcifications-model } },
url = { https://universe.roboflow.com/univalle/calcifications-model },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2026-07-29 },
}