AI Toolkit for Healthcare Imaging

Medical imaging processing for AI applications.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Neural networks toolbox focused on medical image analysis

[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

Slicer extensions index

A collection of deep learning models with a unified API.

[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

Code for analyzing medical images saved as .dicom files

A qt-based 3D data visualization tool.

This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)

Biomedical Visualization and Analysis Framework

The easiest tool for experimenting with radiomics features.