This code will help in converting your dicom images to jpeg. Have a look!

Simple standalone python script to save images from dicom files.

Поиск файлов исследований КТ по заданным параметрам (в примере- исследования легких), их копирование и анонимизация, а так же отправка на сервер обработки и получение результатов с уведомлением по электронной почте.

U-Net algorithm for segmentation of Hippocampus from MRI brain scans for quantification of Alzheimer's Disease Progression.

Tomograph - Radon transform experiment.

AI powered segmentation of human organs from CT images

Courseworks of CS5550 Computational Methods for Biomedical Image Analysis, NTHU.

Change DICOM file to Image file

Classification of chest X-rays as pneumonia positive or negative with the use of convolutional neural networks based on DenseNet121.

Developed and evaluated two models, to detect pneumonia cases from medical images. Our custom resnet18 was evaluated at an 81% accuracy, 66% precision, and 78% recall. Valuable for timely detection of pneumonia patients, improving outcomes, and reducing mortality. CAM visualizations provide provide insights into model decision-making

Proyecto Final Integrador Ingeniería Biomédica - Deep Learning para segmentación y clasificación de imágenes médicas

App handles GUI creation and image processing from DICOM files. Built using the PyQt5 library, it facilitates an interface with buttons and functions

Trabajo desarrollado para beca PEFI 2022: Software SAURUS para visualización, análisis y generación de informes automáticos de cancer prostático a partir de imágenes de MRI

Python Snippets for plotting and saving, reading user input from keyboard, reading DICOM images, reading XML files.

Поиск исследований КТ в ПАКС (Комета) по заданным критериям, их получение и отправка не сервер обработки + Программа визуализация обработанных данных

Backend for Dr. Machine

This is a Python script that converts DICOM files to JPEG files using the Pydicom and Pillow libraries

Python project as a proposal for the Kaggle competition OSIC Pulmonary Fibrosis Progression available at https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression

Python script to anonymize DICOM files by removing sensitive patient data from the file headers, implemented using an interactive TUI.