Mehdi Alilou is a prominent inventor based in Cleveland, OH, known for his significant contributions to medical imaging technology. He has been awarded a total of 8 patents, showcasing his innovative approach to improving lung nodule diagnosis through advanced imaging techniques.

Latest Patents

One of Mehdi Alilou's latest patents is titled "Intra-perinodular textural transition (IPRIS): a three-dimensional (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images." This invention involves classifying lung nodules by accessing a 3D radiological image of a region of tissue. The process includes segmenting the nodule represented in the 3D image across contiguous slices, where the nodule has a 3D volume and interface. The 3D interface is partitioned into nested shells, and a set of Ipris features is extracted from 2D slices based on boundary pixels. These features are then provided to a machine learning classifier, which computes the probability of malignancy for the nodule, ultimately generating a classification based on this probability.

Career Highlights

Mehdi Alilou is affiliated with Case Western Reserve University, where he continues to advance research in medical imaging. His work has significantly impacted the field, particularly in enhancing the accuracy of lung nodule assessments.

Collaborations

Some of his notable coworkers include Anant Madabhushi and Mahdi Orooji, who collaborate with him on various research projects aimed at improving diagnostic techniques in medical imaging.

Conclusion

Mehdi Alilou's innovative work in lung nodule diagnosis exemplifies the intersection of technology and healthcare, contributing to more accurate and efficient medical assessments. His patents reflect a commitment to advancing medical imaging and improving patient outcomes.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to support@idiyas.com