Papers with Code 아카이브
Retinal OCT Disease Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 30
Classifying different Retinal degeneration from Optical Coherence Tomography Images (OCT).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/isheunesutembo/TB-Computer-Aided-Diagnosis-Using-Deep-Learning
https://github.com/itijyou/ademxapp
https://github.com/j3soon/arxiv-utils
https://github.com/jainabhishek/mnetv2
https://github.com/james77777778/keras-image-models
https://github.com/jameswang287/Car-Detection
https://github.com/jday96314/Kuzushiji
https://github.com/jiajunhua/facebookresearch-Detectron
https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop
https://github.com/jinbac/PlantNet
https://github.com/jiweibo/imagenet
https://github.com/jmjeon94/MobileNet-Pytorch
https://github.com/jmysu/ESP32CAM-FaceDetect-Line-Notify
https://github.com/joeynavarro/facial_expression_classification
https://github.com/johngear/eecs504
https://github.com/johnnylu305/resnet-50-101-152
https://github.com/jooyae/NVIDIA_STYLEGAN
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/kaamka/cars-classification-deep-learning
https://github.com/kamanphoebe/motiondetection
https://github.com/kangks/aws-greengrass-mxnet-inception
https://github.com/kaseris/ILSVRCPlus
https://github.com/kclip/localized-adaptive-risk-control
https://github.com/kekeller/semantic_soy_deeplabv3plus
https://github.com/keras-team/keras-applications
https://github.com/keras-team/keras-applications/blob/master/keras_applications/
https://github.com/khurram702/StyleBasedGAN
https://github.com/kingcong/gpu_FaceAttribute
https://github.com/kingcong/gpu_SE-Net
https://github.com/kingcong/mobilenetv2
https://github.com/kingcong/resnet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.