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/kaseris/ILSVRCPlus
https://github.com/kclip/localized-adaptive-risk-control
https://github.com/kdha0727/lung-opacity-and-covid-chest-x-ray-detection
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/keras-team/keras
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/res2net
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/lbareiro/Image_Segmentation-master
https://github.com/leemathew1998/GradientWeight
https://github.com/leemathew1998/RG
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/davit
https://github.com/linainsaf/RESNET50_PNEUMONIA_DETECTION
https://github.com/linhduongtuan/Fruits_Vegetables_Classifier_WebApp
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/lionelmessi6410/ntga
https://github.com/liuquande/SRC-MT
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
https://github.com/liuyao12/ConvNets-PDE-perspective
https://github.com/liuzhuang13/DenseNetCaffe
https://github.com/lixihan/Resnet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.