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Full-Text Articles in Engineering
Novel Bit-Sliced In-Memory Computing Based Vlsi Architecture For Fast Sobel Edge Detection In Iot Edge Devices, Rajeev Joshi
Novel Bit-Sliced In-Memory Computing Based Vlsi Architecture For Fast Sobel Edge Detection In Iot Edge Devices, Rajeev Joshi
USF Tampa Graduate Theses and Dissertations
For today’s Internet-of-Things (IoT) edge devices, there is an acute need for fast and power-efficient hardware for an image processing task. Traditional hardware solutions with sequential and/or pipelined architectures incur high latency and power. This motivates us to propose a novel in-memory computing architecture for rapid image processing. We propose a bit-sliced in-memory computing architecture for CMOS VLSI implementation for fast Sobel edge detection. To the best of our knowledge, this is the first work to propose in-memory computing based VLSI architecture foredge detection. The novelty of the proposed work is that one image can be processed in constant time …
Learning To Predict Clinical Outcomes From Soft Tissue Sarcoma Mri, Hamidreza Farhidzadeh
Learning To Predict Clinical Outcomes From Soft Tissue Sarcoma Mri, Hamidreza Farhidzadeh
USF Tampa Graduate Theses and Dissertations
Soft Tissue Sarcomas (STS) are among the most dangerous diseases, with a 50% mortality rate in the USA in 2016. Heterogeneous responses to the treatments of the same sub-type of STS as well as intra-tumor heterogeneity make the study of biopsies imprecise. Radiologists make efforts to find non-invasive approaches to gather useful and important information regarding characteristics and behaviors of STS tumors, such as aggressiveness and recurrence. Quantitative image analysis is an approach to integrate information extracted using data science, such as data mining and machine learning with biological an clinical data to assist radiologists in making the best recommendation …