Python
Deep Learning
2023
ID: 1CP0682
Brain Fetal Prediction Using Deep Learning
Keywords:
Fetal
Brain
Prediction,
Deep
Learning,
EfficientNet,
UNet,
Image
Segmentation,
Medical
Imaging,
Abnormality
Detection,
Tkinter
Project Synopsis & Overview
This project predicts fetal brain development and detects abnormalities from medical imaging scans using deep learning. EfficientNet extracts features and UNet segments fetal brain structures after preprocessing steps like normalization, resizing, and augmentation. Built in Python with a Tkinter interface, the system automatically labels scans as normal or abnormal, helping clinicians achieve early, accurate diagnosis and improved prenatal care.
Complete Technical Specifications
| Project ID | 1CP0682 (DB ID: 682) |
| Project Title | Brain Fetal Prediction Using Deep Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Deep Learning |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 11, 2026 |
Project Price
₹6500
₹8000
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IEEE Journal Paper Synopsis & PPT
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