Lung segmentation and disease classification in CT images.
12 Sigma Technologies Inc.

PI: Zhaozheng Yin
Award amount $44,215
Award date: 4/1/18 to 3/31/19

Various lung diseases are causing millions of deaths worldwide. Detecting lung diseases at an early stage may dramatically lower the death rate. Screening individuals and applying computer aided diagnosis on the medical input, e.g. Computed Tomography (CT) images, enable the early stage detection of lung diseases. Supported by 12 Sigma Technologies Inc., Dr. Zhaozheng Yin’s group is developing medical image analysis methods for lung segmentation which is usually the first step for lung disease analysis systems. Based on the segmentation results, lung disease classification can aid doctors to make the correct diagnosis and treatment.

The Ph.D. student supported by this project, Tianyi Zhao, won the NIH Student Paper and Travel Award (10 out of 625 paper submissions) in ISBI2018. She was a research intern at 12 Sigma Technologies in summer 2018. One of Dr. Yin’s Ph.D. students, Yunxiang Mao, joined 12 Sigma Technologies as a research scientist, after his graduation in spring 2018.

Founded in San Diego, California in 2015, 12 Sigma Technologies has since emerged as a world leader in medical imaging AI and large-scale data services, dedicated to their mission: Bring Deep Learning to Intelligent Medicine. Driven by that, 12 Sigma has developed a comprehensive suite of semi-automatic/automatic medical diagnosis systems and medical data analytics systems, using artificial intelligence and deep learning techniques. Their intensive research is focused on clinically proven, highly effective auxiliary diagnostic product development based on medical imaging (e.g., CT, DR) for diverse diseases, including pulmonary nodules, lung and chest diseases, stroke, brain tumors, brain trauma, thyroid diseases, liver tumors, pancreatic diseases, prostate diseases, breast tumors and fracture.