automated analysis of immunohistochemical images

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.

My submission to the MICCAI Educational Challenge 2020.

Image Segmentation application project for medical images.

Internship Project N°1_ HealthDatascience_HealthcareEngineering

大学本科毕业设计

COVID-19 NCP CNN classification medical image

Blockchain-Watermarking Scheme Based K-Means for Medical Image

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

Medical image fusion dataset

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.

⚕️Short Course on Medical Image Registration

Hybrid Medical Image Analysis is a secure processing and transmission system for high-resolution medical images. It employs LZMA lossless compression to minimize file sizes and ECC-based encryption along with chaotic Henon map shifts to secure sensitive information, guaranteeing integrity for diagnostic purposes in smart healthcare.

medical mask detection and classification with MTCNN tensorflow

Pathology Atlas (English version of Patoloji Atlası)

Medical Image Analysis library for Python

DICOM format annotation and labeling support for Label Studio

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.

deep-learning image classification resnet50