Stroke Detection Model

This model detects stroke from brain MRI scans.

Model Details

• Architecture: CONVNEXT
• Task: Image Classification
• Classes: 2
• Input Size: 224x224

Labels

• 0: Normal
• 1: Stroke

Usage

from transformers import AutoFeatureExtractor, AutoModelForImageClassification
from PIL import Image

model_name = "dhineshkmar/stroke"
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 stroke detection.