Pinned Repositories
AttFPN-Ovarian-Cancer
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
BCCD_Dataset
BCCD Dataset is a small-scale dataset for blood cells detection.
cc-cruiser
cl2227619761.github.io
deep-mil-for-whole-mammogram-classification
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Detection
faster rcnn pytorch版本，对自定义数据进行训练
Python-100-Days
Python - 100天从新手到大师
TCT_Detection
Paper code
cl2227619761's Repositories
cl2227619761/AttFPN-Ovarian-Cancer
cl2227619761/TCT_Detection
Paper code
cl2227619761/Detection
faster rcnn pytorch版本，对自定义数据进行训练
cl2227619761/cl2227619761.github.io
cl2227619761/FasterDetection
cl2227619761/models
Models and examples built with TensorFlow
cl2227619761/AML-ALL-Classifiers
The Peter Moss Acute Myeloid/Lymphoblastic Leukemia classifiers are a collection of projects that use computer vision to classify Acute Myeloid/Lymphoblastic Leukemia in unseen images. The projects include classifiers made with Tensorflow, Caffe, Intel Movidius (NCS & NCS2), OpenVino and pure Python classifiers.
cl2227619761/Blog
为我的博客写材料，并且学习，都是一些代码或者资料
cl2227619761/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
cl2227619761/CLAM
Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images
cl2227619761/DeepAttnMISL
Contains codes of DeepAttnMISL in MEDIA'20
cl2227619761/FPN_Tensorflow
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
cl2227619761/HE2RNA_code
Train a model to predict gene expression from histology slides.
cl2227619761/hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
cl2227619761/lihang-code
《统计学习方法》的代码实现
cl2227619761/MultimodalPrognosis
Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction
cl2227619761/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
cl2227619761/My_deep_code
Deep learning code
cl2227619761/NCRF
Cancer metastasis detection with neural conditional random field (NCRF)
cl2227619761/object-CXR
Automatic detection of foreign objects on chest X-rays
cl2227619761/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
cl2227619761/seaborn-data
Data repository for seaborn examples
cl2227619761/snet
code for snet project
cl2227619761/student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
cl2227619761/tcga-prad-cslbp
TCGA prostate cancer Gleason score prediction using completed and statistical local binary patterns (Matlab/Python programs)
cl2227619761/tcga_tmb_prediction
TCGA BLCA tmb prediction by Hongming Xu
cl2227619761/TCT_Object_Detection
Paper code
cl2227619761/TILs_Analysis
Pan-cancer tils analysis study by Hongming Xu
cl2227619761/u24_lymphocyte
cl2227619761/uninformed-students-pytorch
A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.