Multimodal image fusion aims to generate a fused image that integrates complementary advantages from different modalities, for example, target saliency from infrared images and texture details from ...

Part Two of this three-part series shifts focus from regulatory reform to the technological breakthroughs that make DER participation possible. From the falling cost of microprocessors to the rise of ...

Deep learning has attracted wide attention recently because of its excellent feature representation ability and end-to-end automatic learning method. Especially in clinical medical imaging diagnosis, ...