What Is Image Segmentation?

Image segmentation is a computer vision technique that automatically divides an image into homogeneous regions, where each group of pixels belongs to the same object or structure.

In simpler terms, it allows AI to understand an image by identifying and separating its components—cells, tissues, plants, organs, or even environmental features.

Types of Image Segmentation

There are three main types:

• Semantic segmentation: classifies each pixel based on the category it belongs to (e.g., healthy tissue vs. tumor tissue)

• Instance segmentation: identifies each individual object within a category (e.g., each cell in a biological sample)

• Panoptic segmentation: combines both approaches for a complete and detailed understanding of the image

Applications in Our Fields

Medical Imaging and Health

BionomeeX algorithms automatically segment complex medical images—MRI, CT scans, histological slides—to:

• Detect early anomalies (lesions, tumors, pathological markers)

• Measure and quantify biological structures

• Accelerate diagnostics and clinical research

Biology and Environment

In biology and ecology, image segmentation enables the analysis of organisms, tissues, and large-scale environments by:

• Identifying plant structures

• Detecting stress or disease in crops

• Monitoring biodiversity from environmental images

These applications support cutting-edge research in healthcare, agronomy, and ecological monitoring.

Advanced AI and Human-in-the-Loop

Through our AI-powered platform HiXloop, we integrate the Human-in-the-Loop approach to enable faster, more reliable, and transparent image annotation.

Our models, built on deep learning and transformer architectures, adapt to each specific use case:

• Segmentation of cells in microscopy images

• Analysis of complex phenotypes

• Large-scale processing of high-resolution images

By combining scientific expertise, computational power, and active learning, BionomeeX transforms image segmentation into a driver of innovation for medical and environmental research.

Toward Smarter Visual Data Utilization

At BionomeeX, every pixel matters.

Our mission is to help researchers, clinicians, and biologists unlock the full potential of their visual data, accelerating scientific discovery and enabling precision medicine and biology.