My submission to the MICCAI Educational Challenge 2020.

This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.

CNN model using TensorFlow for liver disease detection. It trains the model, evaluates its accuracy, and saves it for future use. Ideal for building a liver disease detection system.

Dental segmentation for adults. Many dentists find it difficult to analyze dental panoramic images for adults. One of the difficulties that dentists suffer from is the difficulty in determining the extent and root of the teeth, which affects the decisions of doctors in many cases that include dental implants, tooth extraction, or other problems.

automated analysis of immunohistochemical images

大学本科毕业设计

COVID-19 NCP CNN classification medical image

Medical Biological And Humanities Projects

Segmentations for NIH Chest-XRay14 dataset

Image Segmentation application project for medical images.

deep-learning image classification resnet50

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

Medical Image Analysis library for Python

DICOM format annotation and labeling support for Label Studio

array-api based simple volume renderer

Repository for Kubach et al. bioRxiv/2019/804682 (2019)

Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter to create macOS Core ML models from trained Keras models for A.I.Segmentation.

computational-pathology-pipeline

Visible Korean(Viewer of VKH) application for android.