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Tan Xianzhen photo

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followers: 2.0 following: 2.0 repos: 24.0 gists: 0.0

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

aisct-sam icon aisct-sam

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.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 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 icon awesome

😎 Awesome lists about all kinds of interesting topics

books icon books

自己收集的一些电子书籍

caw-segmentation-and-detection icon caw-segmentation-and-detection

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

cs-books icon cs-books

🔥🔥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~

i2pc-net icon i2pc-net

Official Implementation of I2PC-Net: Simultaneous Segmentation of Ischemic Penumbra and Infarct Core on Non-Contrast CT in Patients with Acute Ischemic Stroke.

leetcode-master icon leetcode-master

《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!🚀

medicalnet icon medicalnet

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.

sam4mis icon sam4mis

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

unetr icon unetr

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

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