Medical Image Classification
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Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type of image or the presence of specific structures or diseases. The goal is to use computer algorithms to automatically identify and classify medical images based on their content, which can help in diagnosis, treatment planning, and disease monitoring.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mvenouziou/Project-Attention-Is-What-You-Get
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/mvrcii/capsule_vision_challenge_2024
https://github.com/nafiuny/Optimized_TumorClassifierResNetSD
https://github.com/najlaeLemrabet/FacialKeypointsDetection
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/narumiruna/efficientnet-pytorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/nashawnch/Computer-Vision-FerrariDetective
https://github.com/nashawnch/ComputerVision-FerrariDetective
https://github.com/ndb796/pytorch-adversarial-training-cifar
https://github.com/nicolalandro/Padam
https://github.com/nimiew/Grab-Computer-Vision
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/niranjana98/Image-Classification
https://github.com/noahfl/densenet-sdr
https://github.com/northeastsquare/effficientnet
https://github.com/nsom/Basic-Models
https://github.com/nsom/VGG16
https://github.com/ntrin/CIFAR_10_ML
https://github.com/okason97/DenseNet-Tensorflow2
https://github.com/okason97/handshape-recognition
https://github.com/ollewelin/libtorch-GPU-CNN-test-MNIST-with-Batchnorm
https://github.com/open-edge-platform/geti
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/open-edge-platform/training_extensions
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/open-mmlab/mmclassification
https://github.com/open-mmlab/mmdetection
https://github.com/open-mmlab/mmpose
https://github.com/optimization-ai/iccv2021_deepauc
https://github.com/oskyhn/CNNs-Without-Borders
https://github.com/osmr/imgclsmob
https://github.com/oxygen0605/ImageClassification
https://github.com/p-mc-grath/DMMFODS
https://github.com/pacharadanait/Densnet_project
https://github.com/paperswithcode/paperswithcode-client
https://github.com/parviagrawal/IdenProf
https://github.com/patientzero/timage-icann2019
https://github.com/paulblum00/ResNet-Recreation
https://github.com/pawelbeza/ClothesDetectorModel
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.