548 skills found · Page 10 of 19
RichmondDjwerter / Smart Healthcare Android ApplicationAn Artificial Intelligence Application that consists of, A Therapist, Medical Doctor, GPS tracker, News Stands and a Meal Planner Along with an Emergency Number Caller.
GiovanniIacuzzo / Optimization Image Registration3D MRI image registration project leveraging PSO and CPSO to optimize affine transformations, maximizing alignment accuracy using Mutual Information and RMSE metrics.
erenada / RNA QC APPRNA-seq Quality Control and Preprocessing Tool - Interactive Shiny application for comprehensive RNA sequencing data validation, quality assessment, filtering, and normalization. Developed at Harvard Medical School Department of Immunology for global research use.
vios-s / Cardiac Dataset TrasformerThis repository has been created to improve the young researchers' experience when using cardiac data for any medical imaging application. It consists of transformers that reorganize a DICOM-based dataset into traditional image dataset structure for better dataloader exploitation.
Akitha-Chanupama / Mediagraphy ECGMediagraphy ECG is a mobile application developed with Flutter, designed to capture and visualize hospital-grade ECG data. It connects to external medical devices via Bluetooth Classic and leverages Flutter’s Custom Painter to render accurate, real-time ECG charts for clinical use.
weasteam / Coursera Machine LearningAbout this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
soumyajit4419 / MedHub 360Advanced Medical-Healthcare Application
dash-orlando / Houdini Medical ToolsetHoudini Toolset for Medical Applications
fuvidani / Flutter HealthbookFlutter mobile application for storing and sharing user's medical information
aliasgharheidaricom / Parrot Optimizer Algorithm And Applications To Medical ProblemsThe source codes of Parrot optimizer are also publicly available at https://aliasgharheidari.com/PO.html, This study presents the analysis and principle of an effective algorithm to optimize different problems.
fraserlove / OssiumVolume rendering application to display 3D medical imaging data in the browser. Built with WebGPU.
RunningMSN / CycleTrackMedical school application cycle tracking and visualization platform.
tknishh / Ayurvedic Doctor BotQuery latest medicinal suggestions and your basic queries in interactive way.
MLXTREME / Doctor In A BrowserQuick and Accessible Health Assistance - Fully Functional Machine Learning based Web Application with Dashboard for Medical Diagnosis Reports, maternal chatbot and Government Verified Certification via Email Listings.
Azure-Samples / Search Dotnet Medical NerThe goal of this project is to show how to leverage Apache cTAKES along with Azure Search to build an effective document search application over medical content.
vgees / AI In 3D Medial Imaging DataApplication of AI in 3D Medical Imaging in quantifying Alzheimer's disease progression through automated measurement of hippocampal volume
ForatHatem / Heart Rate And Pulse OximeterHeart Rate and Pulse Oximeter sensor. a MAXIM HR/SpO2 IC would receive raw data from blood vessels and stores it as raw data. an MPU would interface with it, processes the raw data, and display it on an LCD, and send it to a Bluetooth module to be displayed on a smartphone.
derian-cordoba / ThesisDevelopment of a multiplatform application with the aim of streamlining and clarifying all medical issues that occur between a doctor and a patient, keeping within a friendly graphical interface (UI) where the user can have all documents, whether analysis, result, among others, within a user-friendly manner. organized giving the opportunity to link documents with their corresponding doctors.
samglish / Wadjonautes Healthapplication for detecting areas at risk of tuberculosis contamination and medical monitoring.
colaresm / Blood Vessel SegmentationThis is a computer vision project focused on blood vessel segmentation in medical images using a U-Net architecture trained with TensorFlow/Keras in Python, and later converted to TensorFlow Lite for efficient inference in a C++ application.
