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Abstract-- This study deals with investigating the classification performance of information-theoretic measures when applied to complex biological networks. In particular, our aim ...
Laurin A. J. Mueller, Karl G. Kugler, Andreas Dand...
This paper introduces a new computer-aided classification system for detection of prostate cancer in Transrectal Ultrasound images (TRUS). To increase the efficiency of the comput...
123 African American men in America are 65% more likely to develop prostate cancer and are two to three times more likely to die of the disease than Caucasian men [1]. While resear...
Patrick Bobbie, Renee Reams, Sandra Suther, C. Per...
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
— DNA microarray-based gene expression profiles have been established for a variety of adult cancers. This paper addresses application of an artificial neural network (ANN) wit...
Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andr...
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
Prostate cancer is the most frequent cancer for men and the second cause of cancer death. Confirmation of cancer requires transrectal prostate biopsies. Tracking systems for tran...
Michael Baumann, Pierre Mozer, Vincent Daanen, Joc...
Abstract. Numerous studies have demonstrated the efficacy of imageguided needle-based therapy and biopsy in the management of prostate cancer. The accuracy of traditional prostate ...
Gregory S. Fischer, Simon P. DiMaio, Iulian Iordac...