Detection of Hippocampus Schizophrenia using Machine Learning
Hippocampus Segmentation using advanced image segmentation techniques, our tool assists in the analysis of MRI images for hippocampus segmentation. This feature is invaluable in the study and research of brain conditions, as hippocampus segmentation can provide insights into various neurological conditions. Our model processes images and returns accurate segmentations to support research efforts.
Schizophrenia Classification using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
☎️ Contact Us For More Queries:-
📲 Call/WhatsApp: +91-9460060699
🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
💡 Checkout Related Projects:-
1. Android App:- Click Here
2. Java Projects:- Click Here
3. OpenCV Projects:- Click Here
4. Data Science Projects:- Click Here
5. Data Analytics Projects:- Click Here
5. Deep Learning Projects:- Click Here
6. Cyber Security Projects:- Click Here
7. Machine Learning Projects:- Click Here
8. Image Processing Projects:- Click Here
9. Web Development Projects:- Click Here
10. Game Development Projects:- Click Here
11. Artificial Intelligence Projects:- Click Here
12. Database Management System:- Click Here