Abstract: The present invention disclose a medical image-based system for predicting lesion classification and a method thereof. The system comprises a feature data extracting module for providing a raw feature data based on a medical image, and a predicting module for outputting a predicted class and a risk index according to the raw feature data. The predicting module comprises a classification unit for generating the predicted class and a prediction score corresponding thereto according to the raw feature data, and a risk evaluation unit for generating the risk index according to the prediction score. The system provides medical personnels a reference score and a risk index to determine progression of a certain disease.

Abstract: A spatial light modulation unit includes a first electrode, a second electrode and a super-aligned carbon nanotube-paraffin composite structure. The first electrode is spaced apart and insulated from the first electrode. The super-aligned carbon nanotube-paraffin composite structure is electrically connected to the first electrode and the second electrode. The super-aligned carbon nanotube-paraffin composite structure includes a super-aligned carbon nanotube structure and a paraffin layer overlapped with each other.

Abstract: An apparatus for treating a fuel is disclosed. The apparatus comprises a channel for fuel to be treated, a photocatalyst situated within the channel so as to be in contact with the fuel passing therethrough, electromagnetic radiation source means for irradiating the catalyst and magnetic field source means for providing a magnetic field to which the fuel is exposed.