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Breast Tumour Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Virchow: A Million-Slide Digital Pathology Foundation Model
Multi-View Hypercomplex Learning for Breast Cancer Screening
Meta-repository of screening mammography classifiers
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Rotation Equivariant CNNs for Digital Pathology
Learning Steerable Filters for Rotation Equivariant CNNs
Rotation equivariant vector field networks
Densely Connected Convolutional Networks
Group Equivariant Convolutional Networks
Deep Residual Learning for Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.