Teeth & Gum
Annotation
For Teeth and Gum Annotation projects, our team labels dental images & X-ray scans to identify & annotate specific structures, features, or conditions related to teeth & gums. Each tooth in the image or scan is annotated by marking its boundaries, contours, or outlines. The gum line or gingival margin is also annotated in the image / X-rays to identify the boundary between the teeth & the surrounding gum tissue. This aids in assessing the health & alignment of the gums relative to the teeth.
AI Liver
Diagnosis
For AI Liver Diagnosis projects, our team performs segmentation annotation by marking specific structures, features & abnormalities associated with the liver. Classes include boundaries, lesions, tumors, cysts & vascular structures. This annotated data aids in training models to automatically detect these liver-related classes.
Eye
Annotation
For Eye Annotation projects, our team uses keypoint annotation. We mark specific structures or regions within images related to the eyes. The classes we label are iris, pupil, sclera, eyelids & eye contours. This process is used in applications such as biometric identification for security or addtendance & medical diagnostics.
Shoulder
Annotation
For Shoulder Annotation, our team performs segmentation annotation. we mark the location and boundaries of shoulders in images or frames of videos, ensuring accurate delineation of the anatomical structure. We also include shoulder joint landmarks or angles for bio-mechanical analysis. The process is vital for various application including posture analysis, activity recognition & medical diagnostics.
Ear Lobe Annotation
For Annotate Ear Lobe Annotation projects, our team sifts through millions of earlobe images for size, shape & symmetry. We sse a standardised scale for measurement & apply tags for abnormalities. Utilizing machine learning for automated analysis, we also collaborate with dermatologists for accuracy.
Medical Imaging
Analysis (X-ray, MRI, CT-Scan etc.)
In Medical Imaging Analysis projects, our team labels & annotates various anatomical structures, abnormalities & pathologies within the images. Annotations include identifying organs, tissues, lesions, fractures or tumours. This annotated data aids in disease diagnosis, treatment planning & patient monitoring.
Medical Document
Annotation
For Medical Document Annotation projects, our team expertly annotates medical images, texts & audio, refining AI models for better diagnostics, treatment plans & patient care. Our focus: top-notch data for advanced medical tech. Count on us to boost your AI's medical capabilities.
Annotation in
Dermatology
For Annotation in Dermatology projects, our team marks various dermatological elements such as moles, lesions, rashes, discolourations & other skin conditions. We also mark characteristics such as size, shape, colour, texture & distribution of the identified features. This annotated data is crucial for training machine learning models to assist dermatologists in diagnosing skin diseases, monitoring treatment progress & identifying potential cancerous or pre-cancerous lesions.
Annotation in
Pathology
For Annotation in Pathology, our team marks various structures, features & abnormalities within medical images or slides, such as tissue samples or biopsies. We mark and label histological elements such as cells, nuclei, tissues & pathological changes like tumours, inflammation or necrosis. Also, we include characteristics such as cell morphology, staining patterns, cellular arrangements & tissue architecture.