Name: Tan Xianzhen
Type: User
Company: Central South University
Bio: He is pursuing a master's degree in electronic information from the School of Computer Science, Central South University, whose research interest is MIA.
Location: Changsha, Hunan province, China
Tan Xianzhen's Projects
The code for the paper "AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on NonContrast CT Scans" submitted to IEEE TMI.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
😎 Awesome lists about all kinds of interesting topics
410 Cyber Segmentation Laboratory
:metal: awesome-semantic-segmentation
自己收集的一些电子书籍
Codes and Tools for manuscript “A Two-Stage Convolutional Neural Network for Segmentation and Detection of Carotid Web on CT Angiography” submitted to Journal of NeuroInterventional Surgery
A complete computer science study plan to become a software engineer.
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
Official Implementation of I2PC-Net: Simultaneous Segmentation of Ischemic Penumbra and Infarct Core on Non-Contrast CT in Patients with Acute Ischemic Stroke.
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
Code for the Make Your Own Neural Network book
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
PyTorch deep learning projects made easy.
《Pytorch模型训练实用教程》中配套代码
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
MONAI Tutorials
Paper and implementation of UNet-related model.
Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation