Psoriasis Classification via CNN Development
Budget: ₹1,500 – ₹12,500 INR
My project aims to accurately classify various types of psoriasis using a Convolutional Neural Network (CNN) model. Implement the sclected algorithm into a user friendly interface for practical use in dermatological settings.
Key Responsibilities:
- Developing a CNN model that can efficiently identify different types of psoriasis
- Comparing the effectiveness of this CNN model with other machine learning algorithms
Essential Skills and Experience:
- Proven experience in machine learning and deep learning algorithms, focusing on CNN
- Previous experience with medical or health-related dataset is highly beneficial
- Familiarity with data gathering or scraping as the dataset is currently unavailable
Please note, the dataset for training the CNN model is not currently available and data gathering procedures have yet to be determined. Your input and assistance in data collection may be required.
Key Responsibilities:
- Developing a CNN model that can efficiently identify different types of psoriasis
- Comparing the effectiveness of this CNN model with other machine learning algorithms
Essential Skills and Experience:
- Proven experience in machine learning and deep learning algorithms, focusing on CNN
- Previous experience with medical or health-related dataset is highly beneficial
- Familiarity with data gathering or scraping as the dataset is currently unavailable
Please note, the dataset for training the CNN model is not currently available and data gathering procedures have yet to be determined. Your input and assistance in data collection may be required.
Related categories:
Machine Learning (ML)
Data Mining
Data Science
Artificial Intelligence
Deep Learning