sduqcj

sduqcj's Stars

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python24.3k1634288.1k

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4.2k52276713

• iscyy/ultralyticsPro

  🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

  Language:Python2.6k26149441

• coderonion/awesome-yolo-object-detection

  🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

  1.4k340200

• Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement

  2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

  Language:Python8892544313

• positive666/yolo_research

  based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C

  Language:Python7531094147

• KawaiiAsh/deepLearning-modules-toolbox

  🔧 Deeplearning-modules

  Language:Python2952355

• himashi92/VT-UNet

  [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

  Language:Python26183935

• cv-lee/BraTs

  PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

  Language:Python2573884

• China-LiuXiaopeng/BraTS-DMFNet

  Language:Python18241844

• rixez/Brats21_KAIST_MRI_Lab

  Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

  Language:Python17532423

• lelechen63/MRI-tumor-segmentation-Brats

  MRI medical image segmentation

  Language:Python17112745

• lescientifik/open_brats2020

  Top 10 brats 2020 Solution

  Language:Python16721643

• ieee820/BraTS2018-tumor-segmentation

  We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

  Language:Python1609046

• athon2/BraTS2018_NvNet

  Implementation of NvNet

  Language:Python1338743

• pykao/BraTS2018-tumor-segmentation

  We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

  Language:Python1094622

• icerain-alt/brats-unet

  UNet for brain tumor segmentation

  Language:Python84159

• faizan1234567/Brain-Tumors-Segmentation

  Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.

  Language:Python730133

• Bubble-water/YOLO-Summary

  YOLO系列资料

  505015

• youwh-PIRI/fpn_resnet-resnet-se-resnet-cbam

  fpn_resnet、resnet-se、resnet-cbam

  Language:Python33046

• python-arch/BioMbz-Optimizing-Brain-Tumor-Segmentation-with-MedNeXt-BraTS-2024-SSA-and-Pediatrics

  This repository contains the code for Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics (MICCAI'24)

  Language:Python22100

• Alxaline/BraTS21

  Solution of the RSNA/ASNR/MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021

  Language:Python18125

• LucasFidon/TRABIT_BraTS2021

  Our deep learning training pipeline for the BraTS 2021 challenge and the FeTA 2021 challenge

  Language:Python18304

• JavaZeroo/SwinUNETR

  Language:Jupyter Notebook7101

• LcQi-mic/Gmim

  Language:Python6101

• AGnias47/brats-challenge-cis-5528

  Brain Tumor Segmentation Pipeline for BraTS Challenge

  Language:Python3101

• twinkle831/3d-segmentation-brain-metastasis

  Harnessing deep learning, this project tackles 3D semantic segmentation of brain metastases using BraTS 2024 and NYUMets datasets. With models like 3D U-Net, Attention U-Net, and 3D ResUNet, it delivers precise tumor identification, overcoming class imbalance through custom loss functions.

  Language:Jupyter Notebook2

• arvidle/video-process-mining-public

  Language:Jupyter Notebook11

• GDSALex/BraTS-Brain-Tumor-Segmentation-with-3D-UNet

  The MICCAI BRATS challenge provides a rich dataset for training machine learning algorithms for brain tumor segmentation tasks. This dataset will help in learning the fundamentals of magnetic resonance imaging processing and implementation as well as in the creation of a neural network for tumor segmentation using deep learning techniques.

  Language:Python1

• maitanmassimo/SwinUnetrForBrats

  SWIN UNETR

  Language:Python1