Computational Medical Image Analysis

Dear Colleagues,
It is my great pleasure to invite you to contribute to this Special Issue of Computation, titled “Computational Medical Image Analysis”, which is devoted to understanding the modern methodologies used in a variety of medical imaging applications. Colleagues from all over the world are invited to submit their manuscripts. These papers will follow a rigorous peer-review process to satisfy a high standard of publication.Computational methods are extensively used in medical image analysis. With the development of high-performance systems as well as methodologies that can harness the power of these systems (e.g., machine learning and deep learning), this is an exciting era for imaging research. With novel methodologies it has been possible to provide previously unfathomable solutions to important problems. In this Special Issue we hope to put together a collection of such methods.The scope of the issue is vast. The application must be clinically relevant and patient oriented. Usage of both synthetic and real data is acceptable. Applications from a diverse range of imaging modalities including CT, MR, SPECT, PET, ultrasound, photoacoustic as well as digital pathology are encouraged. Topics for the Special Issue include but are not limited to:Image processing, Dual and multi-modality imaging, Image segmentation, Image registratio, nTomographic reconstruction, Image quality assessment, Digital pathology applications, Dosimetry, Radiation oncology applications, Machine learning, Neural networks

Dr. Anando Sen
Guest Editor