Guest Editorial Emerging Challenges for Deep Learning

The papers in this special section focus on the emerging challenges for deep learningin biomedical industry. Due to proliferation of imaging modalities such as Photoacoustic Tomography, Computed Tomography (CT), Optical Microscopy and Single Photon Emission (SPECT), Magnetic Resonance (MR) Imaging, Ultrasound, Positron (PET), Particle EE/MEG, Electron Atomic Force Microscopy, massive amounts health informatics data are being generated a daily basis. How can we utilize big build better profiles predictive models so that diagnose treat diseases provide life humans? In past years, many successful learning methods were proposed answer crucial question, which has social, economic, well legal implications.