Implementing a deep learning framework for the detection and classification of lung diseases using chest X-ray datasets using PYTHON
Budget: ₹600 – ₹1,500 INR
I am looking for a skilled developer to implement a deep learning framework for the detection and classification of lung diseases using chest X-ray datasets. The preferred framework for this project is TensorFlow and can use any recent CNN based hybrid models.
Dataset:
- The client does not have a specific X-ray dataset and requires assistance in finding a suitable one.
Classification Model:
- The desired accuracy for the classification model is more than 95% with other paramters like f1 score, recall, precision along with suitable graphs and plots.
Skills and Experience:
- Strong proficiency in Python is required.
- In-depth knowledge and experience in implementing deep learning frameworks, specifically TensorFlow and libraries.
- Familiarity with working with chest X-ray datasets and medical imaging is preferred.
- Understanding of image classification and deep learning algorithms.
- Ability to preprocess and analyze large datasets.
- Experience in fine-tuning neural networks for optimal performance.
- Knowledge of techniques for improving model accuracy.
- Strong problem-solving and debugging skills.
Dataset:
- The client does not have a specific X-ray dataset and requires assistance in finding a suitable one.
Classification Model:
- The desired accuracy for the classification model is more than 95% with other paramters like f1 score, recall, precision along with suitable graphs and plots.
Skills and Experience:
- Strong proficiency in Python is required.
- In-depth knowledge and experience in implementing deep learning frameworks, specifically TensorFlow and libraries.
- Familiarity with working with chest X-ray datasets and medical imaging is preferred.
- Understanding of image classification and deep learning algorithms.
- Ability to preprocess and analyze large datasets.
- Experience in fine-tuning neural networks for optimal performance.
- Knowledge of techniques for improving model accuracy.
- Strong problem-solving and debugging skills.