Pancreatic Tumor Detection Using Image Processing
Pancreatic Tumor Detection Using Image Processing
PROJECT ABSTRACT:
Pancreatic Tumor is one of the leading causes of cancer death worldwide. However, pancreatic cancer can be cured if it is detected at an early stage. In this paper, an attempt is made to detect pancreatic tumor from CT images. It uses image processing techniques and a CNN Model Architecture to detect the tumor. After the image pre-processed, CNN Model Architecture is used to detect the tumorous area in the image. It is observed that the training accuracy of detecting tumor is around 98.7%.
PROJECT OUTPUT VIDEO:
ALGORITHM / MODEL USED:
CNN Model Architecture.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- Monitor : 15’’ LED
- Input Devices : Keyboard, Mouse
- Ram : 4 GB
SOFTWARE REQUIREMENTS:
- Operating System : Windows 10 / 11.
- Coding Language : Python 3.8.
- Web Framework : Flask.
- Frontend : HTML, CSS, JavaScript.