Skip to content

Commit 504b2f7

Browse files
authored
Update README.md
1 parent a12770d commit 504b2f7

1 file changed

Lines changed: 3 additions & 3 deletions

File tree

README.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,8 +1,8 @@
1-
# 🧠 Brain Tumor Detection and Classification using Deep Learning
1+
# 🧠 Brain Tumor Classification and Segmentation using Deep Learning
22

33
[![Project Banner](docs/css/segmentation/images/faq.gif)](https://mohd-aflah.github.io/Brain-tumor/)
44

5-
## *A deep learning-powered system for accurate brain tumor detection and classification using CNN models.*
5+
## *A deep learning-powered system for accurate brain tumor Classification and Segmentation using CNN models.*
66

77
---
88

@@ -41,7 +41,7 @@ Static version of the app, suitable for GitHub Pages deployment.
4141

4242
## 🧠 Project Overview
4343

44-
Brain tumor detection and classification is a critical task in medical imaging. This project presents a web-based intelligent system powered by deep learning to assist radiologists and doctors in diagnosing brain tumors from MRI images. Models such as **VGG16**, **EfficientNetB0**, and **ResNet50** were used to classify different types of tumors with high accuracy.
44+
Brain tumor Classification and Segmentation is a critical task in medical imaging. This project presents a web-based intelligent system powered by deep learning to assist radiologists and doctors in diagnosing brain tumors from MRI images. Models such as **VGG16**, **EfficientNetB0**, and **ResNet50** were used to classify different types of tumors with high accuracy.
4545

4646
### 🔬 Key Features:
4747
- CNN-based detection of glioma, meningioma, and pituitary tumors

0 commit comments

Comments
 (0)