Bresneb

Bresneb's Stars

• nirravv/Hospital-Management-Html

  A decent Hospital Management System which is created using Html, css and Bootstrap.

  Language:CSS75106

• hrishikeshathalye/Hospital-Management-System-DBMS

  Hospital Management System made for Sem 5 DBMS Course Project

  Language:JavaScript180114

• opensource-emr/hospital-management-emr

  A complete open source for electronic healthcare record management in Hospitals, Clinics and Pharmacy.

  Language:JavaScript308208

• Third-Culture-Software/bhima

  A hospital information management application for rural Congolese hospitals

  Language:JavaScript220105

• sumitkumar1503/hospitalmanagement

  Hospital Management System || Python Django

  Language:HTML627503

• Levi2794/Realce_de_Im-genes

  Procesamiento de imágenes medicas

  Language:MATLAB1

• WTCN-computational-anatomy-group/mb

  Group-wise diffeomorphic registration and segmentation of medical images.

  Language:MATLAB207

• WCHN/CTseg

  Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.

  Language:MATLAB6415

• cigdemturan/bloodVesselSegmentation

  This is a code for blood vessel segmentation and tracking the blood vessels to measure the diameters. Only low-level image processing techniques are used.

  Language:Matlab69

• IvisionLab/dental-image

  Panoramic X-ray image segmentation

  Language:MATLAB7412

• estephaniapa/Deteccion_Melanoma_CNN

  Detección de Melanoma Mediante una Red Neuronal Convolucional Entrenada con Imágenes. Representa el proyecto integrador del curso propedéutico de matemáticas del proceso de admisión al programa de Maestría en Ciencias de Datos de la Universidad de Sonora.

  Language:HTML1

• Valetina1408/LungCancerDetection-MATLAB

  Este repositorio contiene un proyecto en MATLAB para la detección de cáncer de pulmón mediante una interfaz gráfica.

  Language:MATLAB3

• mgrrwu/Proyecto_Biomecanica

  El objetivo de este proyecto es desarrollar un sistema óptico de captura de movimiento basado en marcadores para facilitar la tarea en el análisis biomecánico del movimiento de las personas.

  Language:Matlab1

• FilippoCastellani/CaVe

  Biomedical Signal Processing & Medical Images - projects realized by a team of students from Politecnico di Milano.

  Language:MATLAB2

• ChrisKalahiki/CT-Image-Analysis-using-DWT

  Using discrete wavelet transform for feature extraction of CT medical images. We aim to identify outliers that may be caused by poor calibration of the machine or other outliers.

  Language:Matlab32

• Shubha76/Brain-Tumor-Detection-from-MRI-images-Spring-2018

  Earlier detection of brain tumors plays a vital role in its treatment as well as dynamically increase the survival rate of the patients. Magnetic Resonance Imaging (MRI) scans are widely used to diagnose the brain tumors which provides better accuracy than other medical imaging techniques. Still, the manual segmentation of MRI images and detecting the brain tumors is a time consuming and prone to error task, which is currently done by the medical experts or radiologists. So, there is an evident necessity for automatic brain tumor segmentation and extracting various characteristics of brain tumors. In this study, three widely used standard image segmentation methods (threshold based, k-means clustering and watershed segmentation) has been tested using collected brain MRI images to isolate the tumors from the rest of the brain regions, and their performance was compared based on the segmentation output. K-means clustering showed a better result than two other methods. Besides this, a graphical user interface (GUI) is designed based on primary image processing techniques and by using the solidity feature of brain tumors. Two of the highly useful brain tumor characteristics (area, and perimeter) are also measured here and displayed on the output window of GUI. The accuracy of this application for tumor detection on brain MRI images and features calculation is much high. More features can be extracted, and the accuracy can be maximized by following some other rigorous techniques, which later could be highly helpful for the medical practitioners working in this field.

  Language:MATLAB114

• SandeepSince1997/Brain-Tumor-Detection-and-Classification

  Given a set of raw MRI images, We use Machine learning approach to correctly detect, classify and label them as benign, malignant and no_tumor using concept of Image Processing.

  Language:Jupyter Notebook74

• Parth-nXp/Brain_Tumor_Detection_Using_SVM

  This code provides the Matlab implementation that detects the brain tumor region and also classify the tumor as benign and malignant. This code is implementation for the - A. Mathew and P. Anto, "Tumor detection and classification of MRI brain image using wavelet transform and SVM", 2017 International Conference on Signal Processing and Communication (ICSPC), 2017. Available: 10.1109/cspc.2017.8305810.

  Language:MATLAB104

• ApurvaMithal/Segmentation-of-MRI-brain-images-for-tumor-detection

  Language:MATLAB1610

• sadam-99/X-RAY-IMAGES-BONES-SEGMENTATION-AND-FRACTURE-LOCATOR

  Segmentation of different types of bones using Thresholding and morphological operations and detected (located) fracture using Hough Transform in MATLAB. Tried with Deep Learning (ML) algorithms for better accuracy.

  Language:MATLAB103

• gurusaran1998/Detection-of-Leg-Fractures

  This project presents the image processing technique to detect the bone fracture.

  Language:MATLAB2

• priyankadeswal/Radiogrammetric_Measurement_Active_Contour_osteoporosis

  Radiogrammetric Measurement Of Third Metacarpal Bone From Hand Radiogram Using Active Contour Model to detect osteoporosis disease

  Language:Matlab32