Using deep learning in semantic segmentation and classification of MRI data

Using Deep Learning for Brain MRI Data Semantic Segmentation and Classification

Purpose: Improving semantic segmentation and classification accuracy

Type of MRI data: Brain

Skills and experience required:
- Strong background in deep learning and computer vision
- Experience with semantic segmentation and classification of medical images
- Proficient in programming languages such as Python and TensorFlow
- Familiarity with MRI data preprocessing techniques. NIFTI files
- Strong problem-solving and analytical skills
- Familiarity with transformers

Deliverables:
- A deep learning model for brain MRI data semantic segmentation and classification
- Documentation of the model and dataset

Expected outcome:
- High accuracy in semantic segmentation and classification of brain MRI data

Budget: To be discussed.