| Idea Name: |
Derma Vision |
| Slogan: |
Derma Vision: the future of digital staining and segmentation. |
| Supervisor Name: |
Dr. Muhammad Usman Akram |
| Supervisor Designation: |
Proffesor/Associate Head of Department |
| Supervisor School: |
CEME |
| Supervisor Department: |
Computer & Software Engineering Department |
| Contact number: |
+923336913921 |
| Email ID: |
[email protected] |
| Abstract: |
| DermaVision uses cloud technology to stain and identify structures within skin WSI’s accurately and efficiently. The system uses advanced Deep Learning models like GAN’s and an ensemble of U-Net models. The platform is user-friendly and will enable dermatologists to analyze large volumes of images easily and quickly, leading to improved patient care and outcomes. |
| What is the unmet need in society that your idea will fulfill ? |
| Like any manual process, staining have limitations, such as inconsistencies, cost, and time. Our solution involving digital staining automates the process and solves the issues involved. It also combines staining and segmentation on one platform for easier analysis overall. |
| Who needs it ? How many would benefit ? |
| A cloud-based solution for digital staining and segmentation could benefit researchers and organizations that need to analyze biological samples quickly and accurately. It would allow users to access tools from any location and integrate their analysis with other digital tools. |
| How will the solution works |
| Segmentation and staining of whole slide skin images use deep learning-based algorithms to identify and distinguish various tissue types. Our technique is to use an ensemble of UNet based models in combination with digital staining via generative adversarial networks (GANs). Once trained, the models can be deployed on a cloud framework for use in real-world applications. This allows for scaling and access from anywhere with an internet connection. |
| Who are your competitors ? How is your solution different |
| Currently, no company is working on a cloud solution for digital staining and segmentation. The idea is still being researched and its algorithm is not yet ready for public use. Our solution would be unique from researchers as it would combine staining and segmentation on a single platform. |
| Status: |
new |
| Entry Date & Time: |
2022-12-15 (1741) |
