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braintumor

实现了垂体瘤、胶质瘤和脑膜瘤的图像分类，先进行CT/MR图像的分类，采用HOG+SVM算法实现，再进行图像识别，采用CNN或者多特征+SVM实现，系统界面pyQT搭建。

courses

一些公开课的笔记及作业

cs231n-note-translation_cn

CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit

cs231n-spring-2021

My assignments for Stanford CS231n in Spring 2021(Finished)

cs231n-spring-2022

assignment1-3

data-generation

Repository for code from "Generating Synthetic Labeled Data from Existing Anatomical Models: An Example with Echocardiography Segmentation"

deep-learning-for-image-processing

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

fpnn-tmel

Raw code

medmnist

[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

medmnist-1

This is the first assignment in MACHINE LEARNING, Bingbing Ni, SJTU. The repo is used to submit this assignment.

medmnist-2

medmnist-3

Using Tensorflow to evaluate medical images from the MedMNIST dataset.

ml_resnet

This is our assignments for Machine Learning (MedMNIST).

mlofandrew-ng

吴恩达机器学习课程的讲义，欢迎大家一起学习

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite