MIYA O‘SIMTALARINI ERTA TASHXISLASHDA SUN’IY INTELLEKTDAN FOYDALANISH: BACKEND API ASOSIDAGI YONDASHUV

Аннотация

This paper explores the application of artificial intelligence technologies in the early detection of brain tumors. A deep learning-based classification system has been developed to automatically analyze brain MRI scans. The system is implemented as a RESTful API using FastAPI and incorporates a TensorFlow/Keras convolutional neural network (CNN) model. The model is capable of identifying Glioma, Meningioma, Pituitary Tumors, and No Tumor conditions. The evaluation results demonstrate high accuracy, fast inference speed, and optimized deployment, making the system a useful tool to support medical professionals in timely and accurate diagnosis. This AI-powered solution contributes to enhancing early diagnostics and reducing human error in clinical practice. Keywords: Artificial intelligence, brain tumor, MRI, FastAPI, TensorFlow, deep learning, medical diagnostics, RESTful API