Automated Analysis Opportunities for signal processing
Histology is the microscopic inspection of plant or animal tissue. It is a critical component in diagnostic medicine and a tool for studying the pathogenesis and biology of processes such as cancer and embryogenesis. Tissue processing for histology has become increasingly automated, drastically increasing the speed at which histology labs can produce tissue slides for viewing. Another trend is the digitization of these slides, allowing them to be viewed on a computer rather than through a microscope.
Despite these changes, much of the routine analysis of tissue sections remains a painstaking, manual task that can only be completed by highly trained pathologists at a high cost per hour. There is, therefore, a niche for image analysis methods that can automate some aspects of this analysis. These methods could also automate tasks that are prohibitively time-consuming for humans, e.g., discovering new disease markers from hundreds of whole-slide images (WSIs) or precisely quantifying tissues within a tumor
Related Signal Processing Project Titles:
- Electric Machine Drive Design Improvements Through Control and Digital Signal Processing Techniques.
- On Sparse Methods for Array Signal Processing in the Presence of Interference.
- A Home Sleep Apnea Screening Device With Time-Domain Signal Processing and Autonomous Scoring Capability.
- Acoustic micro-Doppler signal processing with foveated electronic cochlea.]
- Signal Processing Oriented Approach for Big Data Privacy.
- Nonlinear Cognitive Signal Processing in Ultra-Low-Power Programmable Analog Hardware.
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- Signal Processing in Next-Generation Prosthetics [Special Reports].
- A UWB Radar Signal Processing Platform for Real-Time Human Respiratory Feature Extraction Based on Four-Segment Linear Waveform Model.
- Signal Processing With Direct Computations on Compressively Sensed Data.
- Comparative Study of Advanced Signal Processing Techniques for Islanding Detection in a Hybrid Distributed Generation System.
- Localization Algorithm for the PD Source in Substation Based on L-Shaped Antenna Array Signal Processing.
- Digital High-Resolution Torque Sensor and Signal Processing.
- Signal Processing Challenges in Quantitative 3-D Cell Morphology: More than meets the eye.
- Razor Based Programmable Truncated Multiply and Accumulate, Energy-Reduction for Efficient Digital Signal Processing.
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