Papers Cancer Metastasis Detection
“Cancer Metastasis Detection” 태그가 달린 논문 3편 · 필터 해제
Deep Multiple Instance Learning with Distance-Aware Self-Attention
2023-05-17
· Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison 외
Traditional supervised learning tasks require a label for every instance in the training set, but in many real-world applications, labels are only available for collections (bags) of instances. This problem setting, know…
Cancer Metastasis DetectionMultiple Instance LearningPositionDomain adaptation strategies for cancer-independent detection of lymph node metastases
2022-07-13
· Péter Bándi, Maschenka Balkenhol, Marcory van Dijk, Bram van Ginneken 외
Recently, large, high-quality public datasets have led to the development of convolutional neural networks that can detect lymph node metastases of breast cancer at the level of expert pathologists. Many cancers, regardl…
Cancer Metastasis DetectionDomain AdaptationCancer Metastasis Detection With Neural Conditional Random Field
2018-06-19
· Yi Li, Wei Ping
Breast cancer diagnosis often requires accurate detection of metastasis in lymph nodes through Whole-slide Images (WSIs). Recent advances in deep convolutional neural networks (CNNs) have shown significant successes in m…
Cancer Metastasis DetectionMedical Image Analysiswhole slide images
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