xiaochengcike

xiaochengcike

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FingerveinRecognition-3

一个实现指静脉识别的整合应用,包括算法,图像处理以及应用GUI⚡。模型使用VGG19,GUI框架为PysimpleGUI。

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PNS-Net

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

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A-challenging-benchmark-dataset-with-multiview-finger-vein-images

The corresponding paper, titled 'Finger Vein Verification using Intrinsic and Extrinsic Features' is accepted by the 2021 International Joint Conference on Biometrics (IJCB 2021)

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AdaptNet-MICCAI2021

PyTorch implementation of AdaptNet (Shape/Scale Adaptive U-Net)

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Attention-Enriched-Deep-Learning-Model-for-Breast-Tumor-Segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

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BCSS

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

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breast_tumor_segmentation

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

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Cell-DETR

Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].

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Cross-Consistency-Prostate

Semi-supervised cross-consistency training for multi-site Dataset for Prostate MRI semantic segmentation

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CS-CO

MICCAI2021 Paper: Self-supervised visual representation learning for histopathological images

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CT2USforKidneySeg

CT2US:Cross-modal Transfer Learning for Kidney Segmentation in Ultrasound Images with Limited Data

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CTPelvic1K

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

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enhancing_fingervein_using-U-net

지정맥 특징점강조 U-net

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FingerVein-Spoofing

:hand: 위조지정맥 검출기술

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GAN_fake_Finger_vein

GAN을 이용한 fake Fingervein image 생성하기

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GeneralizedMedSeg

Recent progress on domain adaption/generalization for medical image segmentation

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Image_Segmentation-1

Image segmentation of Carvana dataset using transfer learning.

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meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

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monuseg

Multi-Organ Nuclei Segmentation Challenge

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Polyp-PVT

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (arXiv2021)

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PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral)

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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RePRI-for-Few-Shot-Segmentation

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

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SANet

Codes for MICCAI2021 paper "Shallow Attention Network for Polyp Segmentation"

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TransBTS

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf) , accepted by MICCAI2021.

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ViT-pytorch-1

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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