Begin a research career in medical imaging by learning the basics of image processing and medical imaging modalities like MRI, CT, or X-rays. Familiarize yourself with image analysis libraries like OpenCV or Scikit-image for preprocessing.
Gain expertise in machine learning and deep learning techniques using TensorFlow or PyTorch. Work on datasets like NIH Chest X-rays or BraTS to practice medical image segmentation, detection, or classification.
Pursue advanced education or collaborate with academic researchers to access resources and mentorship. Publishing in specialized conferences like MICCAI or ISBI can enhance your research credentials. Stay updated on medical imaging trends to align your work with current challenges.