Machine Learning for Medical Image Reconstruction

Discover the cutting-edge insights in "Machine Learning for Medical Image Reconstruction," authored by Farah Deeba and published by Springer Nature Switzerland AG in 2020. This enlightening volume comprises the refereed proceedings from the Third International Workshop on Machine Learning for Medical Reconstruction (MLMIR 2020), which took place alongside the prestigious MICCAI 2020 in Lima, Peru. Spanning 163 pages, this first edition delves into the innovative applications of machine learning techniques in the field of medical imaging. Ideal for researchers, practitioners, and students alike, this book offers a comprehensive overview of the latest advancements and methodologies in medical image reconstruction. Enhance your understanding of this vital intersection of technology and healthcare with this essential resource.