Clinical Images Cropping (Mouth Detector) API
🔹 Description:
This API processes clinical photographs that may include extra facial regions (e.g., nose, chin, cheeks) and detects the full mouth area. It returns the bounding box coordinates for the mouth and saves a cropped image focused only on the dental region. This ensures more accurate predictions when passed to downstream models like the Clinical Findings API.
🦷 What is the purpose of this API?
• Automatically detect and crop the full mouth from patient-taken clinical images.
• Eliminate irrelevant facial areas to improve accuracy in follow-up analyses.
• Serve as a preprocessing step before using the Clinical Findings API or any mouth-related diagnostic models.
🕐 When to use it?
Use this API when:
• The clinical image includes parts of the face and is not properly centered on the teeth.
• You need to standardize images before passing them to detection models.
• You want to automate cropping and focus on the dental region in photos taken by patients or mobile devices.
🔹 Notes:
• This API is optimized for clinical photos taken in uncontrolled settings (e.g., mobile phones).
• It is not suitable for radiographic images (panoramic, cephalometric).
• Ensures that only relevant dental regions are analyzed by later APIs.
• It can be used in tele-dentistry platforms where users submit their own images.