The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API. The Detect Skin Disease API is designed to meet the rigorous demands of modern healthcare, ensuring accurate and reliable skin disease predictions.
Predict skin disease classifications from natural skin images with our Detect Skin Disease API, providing accurate and reliable results.
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Field | Required | Type |
---|---|---|
image |
YES | file |
Viewing Public Parameters and Error Codes
Field | Type | Description |
---|---|---|
data |
object |
The content of the result data returned. |
+body_part |
string |
Skin lesion site identification. |
+image_quality |
float |
Image quality score. |
+image_type |
string |
Image classification. |
+results_english |
object |
ใEnglishใThe predicted results. Contains Key-Value pairs, where Key is the disease name and Value is the probability. |
++acne |
float |
Acne |
++actinic_keratosis |
float |
Actinic Keratosis |
++alopecia_androgenetica |
float |
Alopecia Androgenetica |
++alopecia_areata |
float |
Alopecia Areata |
++bullous_dermatosis |
float |
Bullous Dermatosis |
++chloasma |
float |
Chloasma |
++corn |
float |
Corn |
++dermatofibroma |
float |
Dermatofibroma |
++eczema_dermatitis |
float |
Eczema Dermatitis |
++erysipelas |
float |
Erysipelas |
++erythema_multiforme |
float |
Erythema Multiforme |
++folliculitis |
float |
Folliculitis |
++furuncle |
float |
Furuncle |
++haemangioma |
float |
Haemangioma |
++herpes |
float |
Herpes |
++herpes_simplex |
float |
Herpes Simplex |
++iga_vasculitis |
float |
Iga Vasculitis |
++keloid |
float |
Keloid |
++keratosis_follicularism |
float |
Keratosis Follicularism |
++lichen_planus |
float |
Lichen Planus |
++lupus_erythematosus |
float |
Lupus Erythematosus |
++molluscum_contagiosum |
float |
Molluscum Contagiosum |
++nevus |
float |
Nevus |
++paronychia |
float |
Paronychia |
++pityriasis_alba |
float |
Pityriasis Alba |
++pityriasis_rosea |
float |
Pityriasis Rosea |
++prurigo_nodularis |
float |
Prurigo Nodularis |
++psoriasis |
float |
Psoriasis |
++rosacea |
float |
Rosacea |
++sebaceous_cyst |
float |
Sebaceous Cyst |
++sebaceousnevus |
float |
Sebaceousnevus |
++seborrheic_dermatitis |
float |
Seborrheic Dermatitis |
++seborrheic_keratosis |
float |
Seborrheic Keratosis |
++skin_tag |
float |
Skin Tag |
++stasis_dermatitis |
float |
Stasis Dermatitis |
++syringoma |
float |
Syringoma |
++tinea_capitis |
float |
Tinea Capitis |
++tinea_corporis |
float |
Tinea Corporis |
++tinea_cruris |
float |
Tinea Cruris |
++tinea_manuum |
float |
Tinea Manuum |
++tinea_pedis |
float |
Tinea Pedis |
++tinea_unguium |
float |
Tinea Unguium |
++tinea_versicolor |
float |
Tinea Versicolor |
++urticaria |
float |
Urticaria |
++urticaria_papular |
float |
Urticaria Papular |
++varicella |
float |
Varicella |
++verruca_plana |
float |
Verruca Plana |
++verruca_vulgaris |
float |
Verruca Vulgaris |
++vitiligo |
float |
Vitiligo |
Detect Skin Disease - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] File Binary |
{
"request_id": "",
"log_id": "",
"error_code": 0,
"error_code_str": "",
"error_msg": "",
"error_detail": {
"status_code": 200,
"code": "",
"code_message": "",
"message": ""
},
"data": {
"body_part": "",
"image_quality": "",
"image_type": "",
"results_english": {
"acne": 0
}
}
}
curl --location 'https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API.
Medical Diagnosis: Assisting dermatologists and healthcare professionals in identifying and diagnosing various skin conditions. Telemedicine: Enabling remote consultations by allowing patients to upload images of skin abnormalities for analysis by medical professionals. Healthcare Apps: Integrating skin disease detection features into mobile health apps for self-assessment and early detection. Cosmetics Industry: Developing skincare products targeted towards specific skin conditions based on analysis of user skin images. Preventive Care: Facilitating early detection and intervention for skin diseases, leading to better outcomes and reduced healthcare costs.
Accuracy: Utilizes advanced algorithms to accurately identify and classify different skin diseases, aiding in precise diagnosis. Scalability: Can analyze large volumes of skin images efficiently, making it suitable for widespread use in telemedicine and public health initiatives. Cost-Effectiveness: Offers a cost-effective solution for skin disease detection compared to traditional methods such as biopsies or in-person consultations. Educational Resources: Provides educational resources and information about skin diseases, empowering individuals to take proactive steps towards their skin health.
Yes, we do have more detailed [API documentation](https://www.ailabtools.com/doc/ai-portrait/analysis/skin-disease-detection/api-marketplace) available. You can access it on our website or by contacting our support team for assistance.
Dermatologists and Healthcare Professionals: Professionals who specialize in diagnosing and treating skin conditions, seeking advanced tools to aid in accurate diagnosis. Patients and Caregivers: Individuals concerned about their skin health or that of their loved ones, seeking reliable and accessible tools for early detection and monitoring of skin diseases. Health-Tech Developers and Entrepreneurs: Innovators in the healthcare technology sector who are developing solutions for remote diagnosis, telemedicine, and personalized healthcare services.
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