Cindy-my

Cindy-my

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ResNet-PyTorch

Basic implementation of ResNet 50, 101, 152 in PyTorch

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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attention_time

Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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APRNet

PyTorch Implementation of APRNet for Brain Tissue Segmentation

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PyxLSTM

Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

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vision-lstm

xLSTM as Generic Vision Backbone

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xlstm

Official repository of the xLSTM.

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dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

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3D-brain-segmentation

This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

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NestedFormer

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI 2022)

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MCTSeg

Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".

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S2Net

S2Net: self-adaptive weighted fusion and self-adaptive aligned network for multi-modal MRI Segmentation

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DAR-UNet

[JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation

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magnet

Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation

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temporal-bone-segmentation

Docker container for automatic temporal bone segmentation using deep-learning

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Slicer-ABLTemporalBoneSegmentation

3D Slicer extension featuring spacing resampling, fiducial registration, and rigid registration of temporal bone images.

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IncompleteMriSeg

missing-full complementary learning

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FracSeg-Net

Implementation of 'Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CT' EMBC2024

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NHBS-Net

Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen: NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40(12): 3446-3458 (2021)

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WristBoneSegmentation

Fully Automated Segmentation of Wrist Bone on T2-weighted fat-suppressed MR Images in Early Rheumatoid Arthritis

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MFG-CNN

Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN

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