Blog Articles

With the rapid advancement of AI technologies, an increasing number of fields have begun incorporating AI to achieve more accurate and efficient analytical results. One emerging discipline is computational pathology, which integrates AI algorithms with pathology to analyze medical data at scale.

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Convolutional Neural Network (CNN) is a type of deep learning model designed for processing image data. It is commonly used for image recognition, classification, and feature extraction. In medical applications, CNNs can help analyze medical images and detect tumors or lesion regions.

The basic st...

Multiple Instance Learning (MIL) is a machine learning approach commonly used for training models on pathology data. In traditional supervised learning, each individual sample is associated with its own label. In contrast, MIL organizes training data into bags, where each bag contains multiple ins...

What Is a Clustering Model?

A clustering model is a technique used to automatically group data points based on similarity. It is a common application in machine learning, and its goal is to assign similar data points to the same group—known as a cluster—while separating data points that differ sig...