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Breast Tumour Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/johnnylu305/resnet-50-101-152
https://github.com/johntd54/stanford_car
https://github.com/jonnor/datascience-master
https://github.com/jtcass01/SIMON
https://github.com/julik43/IIMAS-USCS
https://github.com/jung-jun-uk/mixface
https://github.com/jvoynow/ConvNet-Architectures
https://github.com/k-miran/hear
https://github.com/kamanphoebe/motiondetection
https://github.com/kaseris/ILSVRCPlus
https://github.com/kclip/localized-adaptive-risk-control
https://github.com/keras-team/keras-applications
https://github.com/kingcong/densenet
https://github.com/kingcong/gpu_FaceAttribute
https://github.com/kingcong/gpu_SE-Net
https://github.com/kingcong/resnet
https://github.com/kiranu1024/deep-learning
https://github.com/kishanAk21/Skin-Cancer-Image-Classification
https://github.com/kishorkuttan/traffic_net
https://github.com/km1414/CNN-models
https://github.com/kmzzhang/nbi
https://github.com/konstantinos-p/image_classification_SOTA
https://github.com/koshian2/ResNet-MultipleFramework
https://github.com/krishnakarthi/COVID-19_Prediction
https://github.com/kun-woo-park/Deeplearning_project_STL_10
https://github.com/kwantommy/fgvc6-kaggle-cassava-classification
https://github.com/kwotsin/TensorFlow-ENet
https://github.com/kyle-dorman/bayesian-neural-network-blogpost
https://github.com/lab-midas/med_segmentation
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/ladislasl/CNN_invar_rot
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
https://github.com/leemathew1998/GradientWeight
https://github.com/leemathew1998/RG
https://github.com/linainsaf/RESNET50_PNEUMONIA_DETECTION
https://github.com/lionelmessi6410/ntga
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.