Abstract: A complementary thin film transistor (TFT) includes a substrate and a first TFT and a second TFT disposed on the substrate, wherein a first conductive semiconductor layer of the first TFT and a second gate electrode layer of the second TFT are disposed in the same layer and include the same material.

Abstract: Provided is a multi-modality medical image analysis method and apparatus for brain disease diagnosis. The method includes the steps of: acquiring medical images with different modalities for the same patient; selecting at least some of pre-trained analysis models corresponding to the modalities of the medical images; inputting the medical images correspondingly to the analysis models selected with respect to the modalities of the medical image to produce output values related to a plurality of factors used for reading at least one brain disease; converting the output values to produce a plurality of feature vectors corresponding to the output values; and inputting the plurality of feature vectors to at least one diagnosis model pre-trained to read the brain disease to thus predict a degree of brain disease progression.

Abstract: Provided is a multi-modality medical image analysis method and apparatus for brain disease diagnosis. The method includes the steps of: acquiring medical images with different modalities for the same patient; selecting at least some of pre-trained analysis models corresponding to the modalities of the medical images; inputting the medical images correspondingly to the analysis models selected with respect to the modalities of the medical image to produce output values related to a plurality of factors used for reading at least one brain disease; converting the output values to produce a plurality of feature vectors corresponding to the output values; and inputting the plurality of feature vectors to at least one diagnosis model pre-trained to read the brain disease to thus predict a degree of brain disease progression.

Abstract: Provided is a method and apparatus for providing information needed for the diagnosis of lymph node metastasis of a thyroid cancer, and the method includes the steps of: acquiring medical images produced correspondingly to the continuous volumes of a body region including the neck; detecting at least one or more lymph nodes from the medical images through a first network function learned, the lymph nodes including at least one or more lymph nodes having higher lymph node metastasis risks than a given reference value; dividing the neck tissue around the thyroid into a plurality of compartments on the medical images through a second network function learned, based on the anatomical characteristics of the neck tissue; and matching diagnostic information including the information of the detected lymph nodes and the plurality of compartments with the medical images and displaying the diagnostic information on the medical images.

Abstract: Provided is a method and apparatus for providing information needed for the diagnosis of lymph node metastasis of a thyroid cancer, and the method includes the steps of: acquiring medical images produced correspondingly to the continuous volumes of a body region including the neck; detecting at least one or more lymph nodes from the medical images through a first network function learned, the lymph nodes including at least one or more lymph nodes having higher lymph node metastasis risks than a given reference value; dividing the neck tissue around the thyroid into a plurality of compartments on the medical images through a second network function learned, based on the anatomical characteristics of the neck tissue; and matching diagnostic information including the information of the detected lymph nodes and the plurality of compartments with the medical images and displaying the diagnostic information on the medical images.