https://github.com/ImagingLab/ICIAR2018
공식 코드Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
Papers with Code 아카이브
Breast Cancer Histology Image Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alexander-rakhlin/ICIAR2018
공식 코드Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
https://github.com/bghojogh/Histopathology-Magnification-Generalization
공식 코드Magnification Generalization for Histopathology Image Embedding
https://github.com/bupt-ai-cz/BCI
공식 코드BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
https://github.com/matinamehdizadeh/Breast-Cancer-Detection
공식 코드https://github.com/medgift/iMIMIC-RCVs
공식 코드Regression Concept Vectors for Bidirectional Explanations in Histopathology
https://github.com/prakashchhipa/magnification-prior-self-supervised-method
공식 코드https://github.com/pranavphoenix/Backbones
공식 코드Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
https://github.com/zakariasenousy/mcua-model
공식 코드https://github.com/SainiManisha/VGGIN-Net
https://github.com/kamalravi/Lung-cancer-detection
https://github.com/liupeng0606/voting
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
https://github.com/mainak15/Breast-NET
https://github.com/vavaidya/breast-cancer-detection
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.