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Learning Deep Representations from Histopathological Slides for Disease Prognosis

By Jiayun Li Medical and Imaging Informatics Ph.D. Candidate — Dr. Corey Arnold Lab. Prostate cancer (PCa) is the most common and second deadliest cancer in men in the United States. Active surveillance (AS) is an important option for the management of low- to intermediate-risk clinically localized prostate cancer. Prostate biopsy, which is an invasive […]

Prostate Cancer Diagnosis and Gleason Grading of Histological Images

By Wenyuan Li Ph.D. of Electrical and Computer Engineering Prostate cancer is the most common and second most deadly form of cancer in men in the United States. Pathologists use several screening methodologies to qualitatively describe the diverse tumor histology in the prostate. The classification of prostate cancers based on Gleason grading using histological images […]

Quantitative characterization of suspicious microcalcifications on mammography

By Noor Nakhaei Computer Science graduate student — Dr. Will Hsu Lab Microcalcifications are a common finding on screening mammography: annually, approximately 580,000 exams in the United States have microcalcifications that prompt further diagnostic workup. Radiologists use rudimentary imaging features to stratify biopsy recommendations for microcalcifications. These imaging features are limited to those that are […]