中文排序：按拼音/笔顺快速排序简体中文词组（百万数量级，可含中英/多音字）。如果对您有所帮助，欢迎点个star鼓励一下。

This is a minimal implementation of Scene text removal via cascaded text stroke detection and erasing. This github repository is for studying on image in-painting for scene text erasing. Thank you :)

ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"

Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.

中文按笔划排序的Python 模块(发布于PyPI)

Functional connectivity and brain network analysis for motor imagery data in stroke patients

National Institute of Health stroke scale (NIHSS) information extraction from MIMIC-III discharge summary

A painter program developed using the tkinter Canvas widget, supporting the opening, editing, and saving of documents, as well as setting document properties, allowing customization of brush thickness, brush color, and background color. 应用tkinter的Canvas控件开发的画板程序, 支持打开、编辑和保存文档，以及设置文档属性功能，可自定义画笔粗细，以及画笔颜色、背景颜色。

MM-StrokeNet method for segmenting sub-acute and chronic stroke lesions.

KeyStroke is a joke program that makes you have a text stroke every x key strokes. It spams your keyboard to emulate having a stroke. It also blocks keyloggers as a bonus.

This repository extracts the tractograpic feature, other first-order features and the state-of-the-art feature from the stroke lesion. A random forest regressor is used with one type of feature to predict the modified Rankin Scale of stroke patients.

Optimization of Prehospital Triage of Patients with Suspected Ischemic Stroke: Results of a Mathematical Model

stroke segmentation in MRI data

EyeTrainer is an application that should help to repair limits of the field of view that are contracted for example as a symptom of a mild stroke.

📄 Official PyTorch implementation regarding the Fourier-based Multimodal RBMs

This repository contains the code to reproduce the experiments of "Identification of Patients with Recent Cerebrovascular Symptoms by Combined Clinical and Carotid Plaque’s Calcium Imaging Data Using Interpretable Machine Learning", currently under review at JACC: Cardiovascular Imaging.

A PyTorch model with 99.96% accuracy used for determining stroke risk, based on 16 established risk factors documented in leading medical textbooks, research papers, and guidelines from health organizations.

dataset for hershey single stroke characters for machine learning applications in SVG

GACL-Net: Hybrid Deep Learning Framework for Accurate Motor Imagery Classification in Stroke Rehabilitation