TLDR;

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Features

Image segmentation
Image analysis
Landmark detection
Image information
Image enhancement
Motion estimation

Image segmentation

With CURL

curl -H "Content-Type: application/json" -X POST -d '{"username":"USERNAME","password":"PASSWORD"}' https://api.kardio.me/v1/login curl -H "Content-Type: application/json" -X POST -d '{"url":"https://cardiacimages.com/lvnc.dcm"}' https://api.kardio.me/segment/

Python code snippet

Get API keys

import request login_credentials = { 'username': USERNAME, 'password': PASSWORD } auth = request.post('https://kardio.me/login', auth=login_credentials)

Segment an image from the web

src_image = { 'url': 'https://cardiacimages.com/tetralogy_of_fallot.png' } response = request.post('https://api.kardio.me/v1/segment/', json=src_image) tissue_map = response['all']['mask'] lv_probability_map = response['lv']['mask'] lv_contour = response['lv']['contours'] lv_probability_map = response['lv']['probas']

Image analysis

Extract commonly and less commonly used measures and evaluate the function of each cardiac part.

src_image = { 'url': 'https://cardiacimages.com/tetralogy_of_fallot.png' } response = request.post('https://api.kardio.me/v1/analyse/', json=src_image) aortic_valve_info = response['av'] left_ventricle_info = response['lv'] lv_ejection_fraction = left_ventricle_info['ef'] { "lv": { "status": string, "ef": float, "edv": float, "esv": float, "heartrate": float, "aha": { "0": string, "...": string, "17": string }, "regions": { "lateral": string, "anterior": string, "septal": string, "inferior": string, "basal": string, "apical": string } }, "rv": { "status": string, "ef": float, "edv": float, "esv": float, "heartrate": float, "aha": { "18": string, "...": string, "30 ": string } }, "av": { "status": string }, "pv": { "status": string }, "rca": { "status": string } }

Landmark detection

src_image = { 'url': 'https://cardiacimages.com/tetralogy_of_fallot.png' } response = request.post('https://api.kardio.me/v1/detect-landmarks/', json=src_image) aortic_valve_info = response['av'] left_ventricle_info = response['lv'] lv_ejection_fraction = left_ventricle_info['ef'] { "lv": { "status": string, "ef": float, "edv": float, "esv": float, "heartrate": float, "aha": { "0": string, "17": string } }, "rv": { "status": string, "ef": float, "edv": float, "esv": float, "heartrate": float, "aha": { "0": string, "17": string } }, "av": { "status": string }, "pv": { "status": string }, "rca": { "status": string } }