Work-up of the solitary pulmonary nodule

Abstract Although the solitary pulmonary nodule (SPN) is a common presentation of lung cancer, most SPNs are benign. The challenge in evaluating SPNs is to avoid invasive procedures in patients who have benign nodules, without allowing potentially curable bronchogenic carcinomas the time to progress to more advanced or even unresectable disease. Various approaches include assessment of nodule morphology, interval growth and contrast enhancement, as well as techniques such as percutaneous biopsy, positron emission tomography scanning and depreotide imaging. The role of each of these approaches is discussed.http://deepblue.lib.umich.edu/bitstream/2027.42/111300/1/40644_2015_Article_13.pd

Farewell to Social Nostalgia. Book Review Of: Beyond Camelot: Rethinking Politics and Law for the Modern State. by Edward L. Rubin.

Book review: Beyond Camelot: Rethinking Politics and Law for the Modern State. By Edward L. Rubin. Princeton, Princeton University Press, 2005. Pp. 471. Reviewed by: Peter E. Quin

Farewell to Social Nostalgia. Book Review Of: Beyond Camelot: Rethinking Politics and Law for the Modern State. by Edward L. Rubin.

Book review: Beyond Camelot: Rethinking Politics and Law for the Modern State. By Edward L. Rubin. Princeton, Princeton University Press, 2005. Pp. 471. Reviewed by: Peter E. Quin

Imaging as a guide to tissue sampling

http://deepblue.lib.umich.edu/bitstream/2027.42/117375/1/40644_2014_Article_30.pd

Artificial neural networks for 3D cell shape recognition from confocal images

We present a dual-stage neural network architecture for analyzing fine shape details from microscopy recordings in 3D. The system, tested on red blood cells, uses training data from both healthy donors and patients with a congenital blood disease. Characteristic shape features are revealed from the spherical harmonics spectrum of each cell and are automatically processed to create a reproducible and unbiased shape recognition and classification for diagnostic and theragnostic use.Comment: 17 pages, 8 figure

Image directed lymph node sampling for lung cancer staging

http://deepblue.lib.umich.edu/bitstream/2027.42/117374/1/40644_2014_Article_102.pd