548 skills found · Page 5 of 19
azaz9026 / Medicine Recommendation SystemA Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions
anjanatiha / Cancer Detection From Microscopic Tissue Images With Deep LearningCancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
SagorSamadder / SMedicalthis is a complete doctor appointment app there user can appoint a doctor
DebeshJha / PolypGenA multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y
malyalar / Vr Volume RendererViVRe is a Unity editor/game application designed for the creation of volume-rendered virtual reality learning objects, primarily sourced from medical imaging data. This volume rendering implementation allows users to "slice" learning objects to visualize deep anatomy, all with relatively inexpensive hardware (i.e. smartphones and Cardboard headsets).
ish3lan / Medical BlockchainDecentralized Medical Supply Chain (DApp) built on Ethereum blockchain.
TejaNaik15 / Brain Tumor DetectionA deep learning-based application for detecting brain tumors from medical X-ray/MRI images using Convolutional Neural Networks (CNN). This project provides an intuitive GUI interface built with Tkinter for easy interaction and real-time predictions.
zahrasalarian / Digital Image Processing For Medical ApplicationsThis repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.
seokhwanko90 / Pytorch 3D Medical Classificationpytorch application for 3D classification using medical images
prateek-senapati / Healthcare Information Management SystemA DBMS application which can be used by hospitals, clinics and healthcare centres to manage records for patients, doctors, prescriptions, medical tests and various departments.
NCIP / National Biomedical Image ArchiveThe National Biomedical Imaging Archive (NBIA) is a free and open source service and software application that enables users to securely store, search, and download diagnostic medical images, providing a searchable national repository integrating in vivo cancer images with clinical and genomic data. Using role-based security, NBIA provides web-based access to de-identified DICOM images, image markup, annotations, and rich meta data.
mistersharmaa / BreastCancerPredictionBreast cancer has the second highest mortality rate in women next to lung cancer. As per clinical statistics, 1 in every 8 women is diagnosed with breast cancer in their lifetime. However, periodic clinical check-ups and self-tests help in early detection and thereby significantly increase the chances of survival. Invasive detection techniques cause rupture of the tumor, accelerating the spread of cancer to adjoining areas. Hence, there arises the need for a more robust, fast, accurate, and efficient non-invasive cancer detection system. Early detection can give patients more treatment options. In order to detect signs of cancer, breast tissue from biopsies is stained to enhance the nuclei and cytoplasm for microscopic examination. Then, pathologists evaluate the extent of any abnormal structural variation to determine whether there are tumors. Architectural Distortion (AD) is a very subtle contraction of the breast tissue and may represent the earliest sign of cancer. Since it is very likely to be unnoticed by radiologists, several approaches have been proposed over the years but none using deep learning techniques. AI will become a transformational force in healthcare and soon, computer vision models will be able to get a higher accuracy when researchers have the access to more medical imaging datasets. The application of machine learning models for prediction and prognosis of disease development has become an irrevocable part of cancer studies aimed at improving the subsequent therapy and management of patients. The application of machine learning models for accurate prediction of survival time in breast cancer on the basis of clinical data is the main objective. We have developed a computer vision model to detect breast cancer in histopathological images. Two classes will be used in this project: Benign and Malignant
OHIF / Ohif CoreUseful functions and classes for building web-based medical imaging applications
mikelkl / Keeper ClientA single page application client of a ECG medical service cloud platform
albertcbraun / CMS50FWA library for conveniently connecting over Bluetooth to a Contec Medical Systems Pulse Oximeter (model CMS50FW) and reading data from its input stream. Also includes a test application which displays SpO2 and pulse rate data and alerts the user if the SpO2 values go below a specified threshold or the data stream is interrupted.
abdorah / Cabinet MedicalLe but de ce projet est de concevoir et de développer une application qui permet la gestion d'un cabinet médical(Prise des rendez-vous en ligne,gestion des patients...),en utlisant la plateforme de développement JAVA EE.
mahsa91 / RA GCN MedIA2022Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image Analysis Journal (MedIA 2022)
amira921 / AI Based Healthcare Monitoring System Using IOTMedical IOT System Consists of Smart Band, Medical generative QA model, mobile application which facilitate efficient healthcare monitoring and medical assistance for patients and doctors.
AltranResearchMedica / ARAMAugmented Reality for Application on Medical field library
laurahanu / Improved Wasserstein GAN Application On MRI ImagesImproved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
