sduqcj's Stars
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
huawei-noah/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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🚀
coderonion/awesome-yolo-object-detection
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
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
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
KawaiiAsh/deepLearning-modules-toolbox
🔧 Deeplearning-modules
himashi92/VT-UNet
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
cv-lee/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
China-LiuXiaopeng/BraTS-DMFNet
rixez/Brats21_KAIST_MRI_Lab
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
lelechen63/MRI-tumor-segmentation-Brats
MRI medical image segmentation
lescientifik/open_brats2020
Top 10 brats 2020 Solution
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.
athon2/BraTS2018_NvNet
Implementation of NvNet
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.
icerain-alt/brats-unet
UNet for brain tumor segmentation
faizan1234567/Brain-Tumors-Segmentation
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
Bubble-water/YOLO-Summary
YOLO系列资料
youwh-PIRI/fpn_resnet-resnet-se-resnet-cbam
fpn_resnet、resnet-se、resnet-cbam
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)
Alxaline/BraTS21
Solution of the RSNA/ASNR/MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021
LucasFidon/TRABIT_BraTS2021
Our deep learning training pipeline for the BraTS 2021 challenge and the FeTA 2021 challenge
JavaZeroo/SwinUNETR
LcQi-mic/Gmim
AGnias47/brats-challenge-cis-5528
Brain Tumor Segmentation Pipeline for BraTS Challenge
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.
arvidle/video-process-mining-public
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.
maitanmassimo/SwinUnetrForBrats
SWIN UNETR