Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
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Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
An effort to consolidate the needs and plans of individuals and organizations using Common Lisp to meet their numerical and scientific computing needs.
Open source ballistics library
Simple webapp for generating small ligand conformers
Port of godot-math to D: vectors, matrices, rectangles, points, AABBs, planes, frustums.
Accelerated similarity searching of small molecules (bioconductor package)
This is a class module in beta state to implement computations with large integers and reals/rationals numbers, while proposing representation of numerical values as scientific notation, allowing to obtain several cohorts for the same number (a lot of fun!).
Distributed Simulation of Transport Networks
High performance, zero-allocation, low memory usage (8 bytes), low precision (17 digits), partially compatible with int64 and shopspring Decimal
a collection of small utlities useful for neuroimaging research