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Nuclei Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
Cell Graph Transformer for Nuclei Classification
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Structure Embedded Nucleus Classification for Histopathology Images
Cell nuclei classification in histopathological images using hybrid OLConvNet
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
Multi-Organ Cancer Classification and Survival Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.