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brain-tumor-segmentation

A deep learning based approach for brain tumor MRI segmentation.

building-extraction-modified-resunet

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

caffe-model-zoo

caffe pretrained models and prototxt

deeplearning-tensorflow2

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。

derpn

A novel region proposal network for more general object detection ( including scene text detection ).

dsb2017

The solution of team 'grt123' in DSB2017

edge-repair

modified the approach outlined in "A Fast and Robust Ellipse Detection-Method ..." (https://www.researchgate.net/publication/261999152_A_Fast_and_Robust_Ellipse-Detection_Method_Based_on_Sorted_Merging) to use line segments and calculated curvature to repair errors in edge maps caused by noise or occlusion.

fcn_object_detector

Simple multi-class object detector using fully convolutional network.

featuremapvisualization

Visualize feature map MNIST

flight24

inception-unet

lungcancernoduleprocessing

A neural network-based ap proach for optimizing the lung cancer nodule detection and lung cancer stage detection based on pre-processing, segmentation, nodule detection feature extraction and classification of computed tomography scan images.

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-unet-resnet-50-encoder

repvgg-caffe

此网只应天上有，人间能得几回训Making VGG-style ConvNets Great Again (Caffe)

residual-attention-network

Residual Attention Network for Image Classification

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

resunet

Tensorflow implementation of Residual U-Net

rp-net

Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).

s201815034

senet

Squeeze-and-Excitation Networks

smarthealth

ssim-loss

calculate ssim loss via tensorflow, RGB or grayscale

tensorflow2.0-examples

🙄 Difficult algorithm, simple code.

tf.keras-commonly-used-models

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

xception-keras

A cleaned version of XceptionNet in Keras.