Machine Learning Diagnosis of In Vivo Tissues by Extracting Tissue-Energy Characteristic Features from Non-Invasively Acquired Computed Tomographic Data
The technology features enable ML models to more accurately classify indeterminate pulmonary nodules and colorectal polyps
Background:
Computed tomography (CT) is a widely used imaging tool for early detection of cancers such as lung and colorectal cancer. However, current low-dose CT screening protocols suffer from high false positive rates, particularly...
Published: 7/14/2026
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Inventor(s): Jerome Liang, Shaojie Chang, Weiguo Cao, Yongfeng Gao, Marc Pomeroy, Licheng Kuo
Keywords(s):
Category(s): Technology Classifications > Artificial Intelligence, Technology Classifications > Computer Software, Technology Classifications > Diagnostics, Technology Classifications > Healthcare IT, Technology Classifications > Information Technology, Technology Classifications > Medical Imaging, Campus > Stony Brook University
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AI-Optimized Spectral CT Reconstruction for Improved Lesion Imaging and Diagnosis
System that uses an AI algorithm to enhance tissue-specific textures in spectral CT images and identify benign and malignant tumors
RSS.HDBackground> Background: <
Spectral CT is an imaging modality that allows for tissue‑specific texture differentiation, along with anatomical information provided by conventional CT. However, current methods...
Published: 1/29/2025
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Inventor(s): Jerome Liang, Yongyi Shi, Yongfeng Gao
Keywords(s):
Category(s): Technology Classifications > Artificial Intelligence, Technology Classifications > Diagnostics, Technology Classifications > Computer Software, Technology Classifications > Healthcare IT, Technology Classifications > Information Technology, Technology Classifications > Medical Imaging, Campus > Stony Brook University
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System, Method and Computer-Accessible Medium for Ultralow Dose Computed Tomography Image Reconstruction
Use of systems to create a higher quality, more accurate image Background: Computer tomography (CT) currently operates at high X-ray exposure, in terms of high X-ray flux. These images provide key details into warning such as potential lung cancer in smoking patients, or even possible birth defects in children. However, there are still challenges...
Published: 11/22/2023
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Inventor(s): Zhengrong Liang, Yuxiang Xing, Hongbing Lu, Yongfeng Gao
Keywords(s):
Category(s): Campus > Stony Brook University, Technology Classifications > Diagnostics, Technology Classifications > Computer Software, Technology Classifications > Healthcare IT, Technology Classifications > Medical Imaging
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