Search Results for "k-meleon"

...) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity.

A computer scientist has attempted to program a textbook of British general practice (primary care) medicine, that is, Hodgkin K (1978) "Towards Earlier Diagnosis....", 4th Edition, Churchill Livingstone. If a patient types presenting findings (such as headache, cough), the program prompts the user for expansion/denial of appropriate findings, in order to construct a list of patient findings. The program also calculates a list of likely diseases, which the user can use the web to find out more...

Runscho is School Administration Solution that helps Supervisors to manage all their daily tasks. It's highly customizable and cover all aspects of school management. Visite the website at : https://www.runscho.com Try the Demo at : http://dem.runscho.com/deploy/

PEG.js is a simple parser generator for JavaScript that produces fast parsers with excellent error reporting. You can use it to process complex data or computer languages and build transformers, interpreters, compilers and other tools easily. PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers. Usable from your browser, from the command line...

K people is a software platform capable of integrating with enterprise systems. It enables workers to improve productivity, while giving management the the means to plan and monitor activity.

This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.