一个用于肺炎图像分类的轻量级ResNet18-SAM模型实现,采用SH-DCGAN生成少类样本数据,解决了数据不平衡的问题,同时结合剪枝策略实现轻量化!MedGAN-ResLite-V2 Released! Stay tuned!❤
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Updated
May 25, 2024 - Python
一个用于肺炎图像分类的轻量级ResNet18-SAM模型实现,采用SH-DCGAN生成少类样本数据,解决了数据不平衡的问题,同时结合剪枝策略实现轻量化!MedGAN-ResLite-V2 Released! Stay tuned!❤
The repository includes the development version of R package LFApp
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.
AI Toolkit for Healthcare Imaging
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
Surgical Image Guidance and Healthcare Toolkit
Personal resume website built by using Python Django, NodeJS/Express framework, Go Gin framework, Java spring boot, spring security, JWT, and MongoDB. Terraform / Ansible leveraged in its deployment. EKS monitoring by Grafana/Prometheus sample provided.
Advanced Normalization Tools (ANTs)
A set of tools for medical imaging processing and analysis that I have been crafting over the years.
Medical imaging toolkit for deep learning
[MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
Code for ICASSP 2024 paper"Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration"
Automated Segmentation for Eustachian Tube Disfunction
Repositório com atividades da disciplina de Processamento de Imagens Médicas 2024.1
Website for the myriad team of the CREATIS laboratory
TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.
Medical Image processing project.
A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.
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