[Ken’ichi Morooka] Innovative Computer-Aided Cancer Diagnosis with Artificial Intelligence using 3D Shapes and Appearance of Cells

Research Director

ResearchDirector'sPhoto

Ken’ichi Morooka

Kyushu University
Graduate School of Information Science and Electrical Engineering
Associate Professor

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Outline

Cytological diagnosis of cancer using specimen is useful to detect cancers at an early and easily curable stage. The project aim is to construct an innovative computer-aided cervical cytology with artificial intelligence for detecting cancer cells reliably. To achieve this, the project will develop technologies for 1) recovering 3D shapes of cells from multi-focus super high-resolution images and 2) identifying normal and cancer cells by deep neural networks using 3D shapes and appearance of cells.

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