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Systematic validation is an essential part of algorithm development. The enormous dataset sizes and the complexity observed in many recent time-resolved 3D fluorescence microscopy imaging experiments, however, prohibit a comprehensive manual ground truth generation. Moreover, existing simulated benchmarks in this field are often too simple or too specialized to sufficiently validate the observed image...
This paper presents a novel method for lung tumor tissue classification using Bidirectional Long Short Term Memory networks (BLSTMs). Samples are obtained through Optical Coherence Tomography (OCT) from real soft tissue specimen and represented as data sequences. Such sequences are learned with BLSTMs, which are able to recognize even non-uniformly compressed temporal encoded patterns in sequential...
We present an area efficient test structure that allows a measurement of the statistical distribution of SRAM cell currents beyond 5 sigma variation. The test structure was fabricated in a 90 nm and a 65 nm CMOS technology. The measured data show that the device variations are Gaussian-distributed for more than 1 million devices, covering more than 5 sigma of variation. Monte Carlo simulations are...
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