Publications by authors named "Brandon Swartz"

Deep neural networks (DNNs) utilized recently are physically deployed with computational units (e.g., CPUs and GPUs).

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The prevalence of computer vision systems necessitates hardware-based approaches to relieve the high computational demand of deep neural networks in resource-limited applications. One solution would be to off-load low-level image feature extraction, such as edge detection, from the digital network to the analog imaging system. To that end, this work demonstrates incoherent, broadband, low-noise optical edge detection of real-world scenes by combining the wavefront shaping of a 24-mm aperture metasurface with a refractive lens.

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Introduction: To determine whether quantifying the proximity of positive prostate biopsy cores to the capsular edge may aid in identifying patients at risk for extracapsular extension (ECE) at the time of radical prostatectomy (RP).

Materials And Methods: We reviewed a single-surgeon experience of 429 systematic transrectal prostate biopsies from 2010-2014. Marking ink was applied to the capsular edge ex vivo following specimen acquisition, and the proximity of cancer to the stained capsular edge was measured.

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Background: Rhabdomyomas are rare benign tumors of striated muscle and include cardiac and extracardiac types. Extracardiac rhabdomyomas are divided in three subtypes (adult, fetal, genital). The adult type is usually found in the head and neck regions of elderly persons.

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