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awesome-topology-driven-deep-image-analysis
Self-Supervised Feature Extraction for 3D Axon Segmentation
This repo contains code for Convolutional Neural Networks (CNNs) and Transformer-based self-attention models have become standard for medical image segmentation method.
The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy
Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.
[MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
MambaClinix: Hierarchical Gated Convolution and Mamba-Structured UNet for Enhanced 3D Medical Image Segmentation
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 2024)
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Official implementation of paper titled "GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model"
Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"
Research Paper - Automated Labelling of Coronary Vessels via Neural Network
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.
This repository aims to replicate the "Vision GNN: An Image is Worth Graph of Nodes" paper.
Implementation of active contour loss function
Deep Guidance Network for Biomedical Image Segmentation
Implementation of "Ariadne+: Deep Learning-based Augmented Framework for the Instance Segmentation of Wires", IEEE Transactions on Industrial Informatics 2022
Implementation of the soft 2D Frangi filter on Pytorch
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
VFT is a domain generalization model for retinal vessel segmentation that trained on fundus image and test on OCT-A