Automatic Lung Cancer Segmantation based on Deep Learning

Recently, the number of people diagnosed with lung cancer in Taiwan has gradually increased. In particular, the proportion of lung adenocarcinoma is the highest among lung cancers. Although there are many ways to find the location of the tumor, the only way to determine whether the tumor is benign or malignant can only be determined by pathological examination. Only then can we know that to avoid insufficient medical energy, this study uses image segmentation to help medical laboratory technicians quickly determine the location of tumors, which can not only stabilize medical energy, but also use artificial intelligence to assist medical laboratory students to use computers to study.