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ai4elife

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

autopet2022

Code for the AutoPET 2022 challenge

autopet_swinunetr

awesome-domain-llm

收集和梳理垂直领域的开源模型、数据集及评测基准。

biomedscribe

Various projects centered around the statistical analysis of medical data and multiomics modeling.

citeseq_autoencoder

Integrative analysis of single-cell multi-omics data using deep learning

e2iplayer

gene2vec

Gene2Vec: Distributed Representation of Genes Based on Co-Expression

gr-meqtls

Multi-omics analysis of the molecular response to glucocorticoids - insights into shared genetic risk from psychiatric to medical disorders

imit_autopet

imit_segementation

lightm-unet

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

llms-in-china

**大模型

lma-unet

Large Window-based Mamba UNet for Medical Image Segmentation: Beyond Convolution and Self-attention

lymphoma-segmentation-dnn

nnunet

okapy

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

plot

sota-medseg

SOTA medical image segmentation methods based on various challenges

spectra

Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms

stu-net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

trials

nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for MICCAI 2024 segmentation challenges.

tutorials_monai

MONAI Tutorials

u-mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch