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/mindspore-ecosystem/mindcv/blob/main/mindcv/models/inception_v3.py
https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/mobilenet_v2.py
https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/resnet.py
https://github.com/mingxingtan/efficientnet
https://github.com/mingxingtan/mnasnet
https://github.com/minlee077/BARS
https://github.com/mjhucla/TF-mRNN
https://github.com/mjvakili/cassava_disease_classification
https://github.com/mlaves/oct-classification-vae-regularization
Retinal OCT disease classification with variational autoencoder regularization
https://github.com/mlvccn/bmtc_transferattackvid
https://github.com/mminamina/Transfer_Learning_NaimishNet---Keypoints_Detection
https://github.com/mminamina/Transfer_Learning_ResNet18---Keypoints_Detection
https://github.com/mnguyen0226/image-augmentation-dnn-performance
https://github.com/mobilesec/arcface-tensorflowlite
https://github.com/moddy2024/resnet-9
https://github.com/modelhub-ai/inception-v3
https://github.com/modelhub-ai/mobilenet
https://github.com/moelgendy/mobileNetV2
https://github.com/motlabs/dont-be-turtle
https://github.com/mr-bulb/DL_basic_github
https://github.com/mrzzy/np-dl-assign-1
https://github.com/mssung94/intel-image-classification
https://github.com/mszpc/resnet18
https://github.com/musifahamran/FYP
https://github.com/myarist/Rock-Paper-Scissors
https://github.com/mziad97/Frog-v-Giraffe
https://github.com/ndb796/pytorch-adversarial-training-cifar
https://github.com/neuleaf/MobileNetV2
https://github.com/nicolalandro/Padam
https://github.com/niranjana98/Image-Classification
https://github.com/nithinksath96/Face-Classification-and-Verification-Using-Convolutional-Neural-Networks
https://github.com/nolanliou/PeopleSegmentationDemo
https://github.com/northeastsquare/effficientnet
https://github.com/nsom/Basic-Models
https://github.com/nsom/VGG16
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.