2020 Volume 38 Issue 5 Pages 217-221
This paper introduces our achievements of the researches in JSPS KAKENHI “Clinical Applications of Multidisciplinary Computational Anatomy to Diagnosis (Grant Number: 26108009)”. In this research, we developed methods for various applications. We introduce researches focusing on the computer-aided diagnosis (CAD) systems for lung tumors in this paper. Most CAD systems for lung tumor in chest CT images process a whole method in sequence of detection, segmentation, and discrimination. In this paper, we introduce a method to detect tumors by using temporal subtraction between the previous and current images, a method to segment tumors by using the current images and the temporal subtraction images, and a method to discriminate between benign and malignant tumors in the current images based on medical findings.
