A person in a white lab coat is examining X-ray images using a pen, with illuminated X-ray scans visible in the background. The setting suggests a medical or diagnostic environment, possibly a hospital or clinic.
A person in a white lab coat is examining X-ray images using a pen, with illuminated X-ray scans visible in the background. The setting suggests a medical or diagnostic environment, possibly a hospital or clinic.

Explore our extensive collection of anonymized medical images and annotations.

A person is undergoing a medical scan inside an MRI machine, with another individual assisting by adjusting their position. The scene appears clinical, with the MRI machine's interior emitting a soft pink glow. The assistant is wearing a blue checkered shirt and a white apron.
A person is undergoing a medical scan inside an MRI machine, with another individual assisting by adjusting their position. The scene appears clinical, with the MRI machine's interior emitting a soft pink glow. The assistant is wearing a blue checkered shirt and a white apron.
Two people in lab coats collaborate in an office setting. One is seated and pointing at a computer screen displaying medical images, while the other stands nearby holding a tablet. Large windows reveal a view of greenery outside, creating a bright and professional environment.
Two people in lab coats collaborate in an office setting. One is seated and pointing at a computer screen displaying medical images, while the other stands nearby holding a tablet. Large windows reveal a view of greenery outside, creating a bright and professional environment.

Medical Data Collection

We specialize in collecting and annotating medical images to build comprehensive multimodal datasets for research.

Model Fine-Tuning

We adapt GPT-4 for medical terminology and image descriptions, enhancing annotation logic and accuracy.

A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
Performance Evaluation

Our evaluation process includes cross-validation and blind tests by clinicians to ensure dataset reliability.

We analyze generalization on rare disease cases to improve model robustness and clinical applicability.

Generalization Analysis
The image contains a series of diagonal lines that intersect and overlap, creating a pattern of varying densities. The lines appear to be white against a textured gray background, with some sections appearing denser than others.
The image contains a series of diagonal lines that intersect and overlap, creating a pattern of varying densities. The lines appear to be white against a textured gray background, with some sections appearing denser than others.
A monochrome image featuring a large, futuristic, and industrial-looking machine with detailed mechanical structures. The machine has prominent cylindrical elements and angular designs, suggesting advanced technology or a military apparatus.
A monochrome image featuring a large, futuristic, and industrial-looking machine with detailed mechanical structures. The machine has prominent cylindrical elements and angular designs, suggesting advanced technology or a military apparatus.
Dataset

Building multimodal medical image datasets for research.

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