[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
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Updated
Apr 22, 2024 - Python
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
AI based Medical Assistance App
Sparrow AI - API for disease diagnostics
Transfer learning pretrained vision transformers for breast histopathology
Kurtlab's code for BraTS 2023 submission
⛏️A collection of tools and practices for image registration. | 图像配准的工具和实践集合
Final Project for CS 229 - Machine Learning (Fall 2022)
This repository aims to present a general, customazible pipeline for MRI images based on a single configuration file (in .json format) that has different flags and according to them, a certain pre-processing procedure with desired steps is performed.
🧠 A deep learning model that classifies brain images as either having a tumor or not.
Welcome to the official repository of HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging accepted in MICCAI Worshop 2024.
Comparison of Feature Extraction techniques for COVID19 diagnosis of CT scans.
A pharmacokinetic model for predicting propofol concentration in a patient's body
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