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DeepLung
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"AnatomyNet-for-anatomical-segmentation
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentationdeep-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.AutoShot
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection - CVPR NAS 2023adversarial-deep-structural-networks
ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970protein-cascade-cnn-lstm
Implementation of IJCAI15 cascade cnn and LSTM for protein secondary structure predictionspeechnas
SpeechNAS-Better-Trade-off-between-Latency-and-Accuracy-for-Large-Scale-Speaker-VerificationHierarchical-ELM-Network
IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learningrecurrent-attention-for-QA-SQUAD-based-on-keras
recurrent attention based on keras. Question Answering SQUAD datasetDeepEM-for-Weakly-Supervised-Detection
MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detectionrna_protein_binding
deep multi-instance learning for rna protein binding predictioninbreast
Extreme-support-vector-regression
The code is used for the Pattern Recognition Letters paper "Robust regression with extreme support vectors". There are kernel based ESVR and conventional ESVR respectively. Please cite it as "Zhu, Wentao, Jun Miao, and Laiyun Qing. "Robust regression with extreme support vectors." Pattern Recognition Letters 45 (2014): 205-210."lamp-automated-model-parallelism
MICCAI20 Early Accepted "LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation"AI_Reading_List
My everyday reading list about healthcare, AI, machine learning, deep learning, startupCTnoddetector
SLAM
Deep-trans-layer-unsupervised-network
deep trans-layer PCA network and deep trans-layer denoising auto encoder networkLove Open Source and this site? Check out how you can help us