Mar 23, 2023 � Abstract:Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients�...
Multiple Instance learning (MIL) models have been ex- tensively used in pathology to predict biomarkers and risk- stratify patients from gigapixel-sized�...
SC-MIL provides large and consistent improvements over other techniques on both in-distribution (ID) and OOD held-out sets across multiple imbalanced settings.
This work proposes a joint-training MIL framework in the presence of label imbalance that progressively transitions from learning bag-level representations�...
Mar 23, 2023 � Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients from�...
Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients from gigapixel-sized images.
May 1, 2024 � SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in ...
Duration: 8:53
Posted: May 1, 2024
Duration: 8:53
Posted: May 1, 2024
Apr 12, 2024 � This paper presents a method for classifying multisource data in remote sensing and geographic information systems using interval-valued probabilities.
Apr 13, 2023 � Bibliographic details on SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology.
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May 2, 2024 � SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. WACV 2024: 7931-7940; 2023. [i5]. view.