Alzhimer Detection Model

This model detects alzhimer from brain MRI scans.

Model Details

• Architecture: VIT
• Task: Image Classification
• Classes: 4
• Input Size: 224x224

Labels

• 0: Mild-alzhimer
• 1: Moderate-alzhimer
• 2: Non-alzhimer
• 3: VeryMild-alzhimer

Usage

from transformers import AutoFeatureExtractor, AutoModelForImageClassification
from PIL import Image

model_name = "dhineshkmar/alzhimer"
feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
model = AutoModelForImageClassification.from_pretrained(model_name)

image = Image.open("brain_scan.jpg")
inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
predicted_class = outputs.logits.argmax(-1).item()

Training

Trained on brain MRI scan dataset for alzhimer detection.