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SPIDER Breast Model

Developed by histai
The SPIDER-Breast Model is a deep learning model specifically designed for breast pathology slide classification, part of the SPIDER dataset initiative.
Downloads 316
Release Time : 4/7/2025

Model Overview

This model is used for breast pathology slide classification tasks, trained on a large-scale, high-quality, multi-organ pathology dataset with expert-annotated labels.

Model Features

High-Quality Dataset
Trained on the SPIDER-Breast dataset, which includes 92,892 center slides and 984,924 total slides, covering 18 breast pathology categories.
High Accuracy
Achieves an accuracy of 0.902, a precision of 0.896, and an F1 score of 0.897 in breast pathology slide classification tasks.
Expert Annotation
All training data is annotated by experts, ensuring label accuracy and reliability.

Model Capabilities

Breast Pathology Slide Classification
Image Analysis

Use Cases

Medical Diagnosis
Automatic Breast Pathology Slide Classification
Automatically classifies breast pathology slides to assist pathologists in diagnosis.
Classification accuracy reaches 90.2%.
Medical Research
Breast Disease Research
Used for large-scale breast disease research and data analysis.
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