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Classification Of Breast Cancer Histology Images
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Magnification Generalization for Histopathology Image Embedding
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Convolutional capsule network for classification of breast cancer histology images
Classification of breast cancer histology images using transfer learning
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.