#计算机科学#MONAI 是一个基于 PyTorch 的开源框架，用于医疗影像深度学习，是 PyTorch 生态系统的一部分。 其目标是：
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
翻译 - OHIF零空间DICOM查看器和特定于肿瘤的病灶追踪器，以及共享的扩展软件包
#计算机科学#A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
#计算机科学#Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
#计算机科学#Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
#Awesome#A curated list of Federated Learning papers/articles and recent advancements.
#计算机科学#a framework for Automated Classification of Medical Images
#计算机科学#Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
#计算机科学#TriDFusion (3DF) Medical Imaging Viewer
I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.
Segmentation of the heart, lungs and trachea on CT of the chest.
Pneumonia Detection - Healthcare Imaging Application built with BentoML and fine-tuned Vision Transformer (ViT) model
#计算机科学#U-Net from Scratch for Brain Tumor Segmentation
How to deal with DICOM files using Python packages, ImageIO and PyDicom
AI-powered Medical Imaging Assistant