AIbase
EN
Home
Benignenchondroma Vs Lowgrademalignantchondrosarcoma Histopathology
B

Benignenchondroma Vs Lowgrademalignantchondrosarcoma Histopathology

Developed by itslogannye
This is a binary vision model trained via AutoTrain, specifically designed to differentiate between histological images of enchondroma and low-grade chondrosarcoma.
Image Classification
Transformers
Open Source License:Apache-2.0#Medical Pathology Classification#High-precision Histological Analysis#Tumor Differential Diagnosis
Downloads 25
Release Time : 1/19/2023

Model Overview

The model performs automatic classification based on histological images, assisting medical professionals in quickly distinguishing between these two similar types of bone tumors.

Model Features

High-precision Classification
Achieves an accuracy of 0.887 and AUC of 0.969 on the validation set, demonstrating excellent performance.
Medical Professional Application
Specifically designed for bone tumor histological images, addressing practical issues in clinical diagnosis.
Environmentally Friendly Training
The training process produced only 3.659 grams of CO2 emissions, emphasizing environmental friendliness.

Model Capabilities

Medical Image Classification
Histological Image Analysis
Tumor Type Identification

Use Cases

Medical Diagnosis
Bone Tumor Auxiliary Diagnosis
Assists pathologists in differentiating between enchondroma and low-grade chondrosarcoma.
88.7% accuracy on validation set, can serve as a clinical auxiliary tool.
Medical Research
Tumor Classification Research
Used for automated classification tasks in bone tumor-related research.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase