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Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Microsoft

Multi-Label Classification for Colon Cancer Using Histopathological Images

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.
IEEE

Unleashing the Potential of Hierarchical Region Clues for Open-Vocabulary Multi-Label Classification

Abstract: Open-vocabulary multi-label classification (OV-MLC) aims to leverage the rich multi-modal knowledge from Vision-language pre-training (VLP) models to further improve the recognition ability ...
Frontiers

Multi-Scale graph wavelet convolutional network for hyperspectral image classification

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
IEEE

Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream Classification

Abstract: Class-incremental multi-label stream classification (class-incremental MLSC) requires learning algorithms to adapt to concept drifts, perform single-pass online learning, and handle emerging ...
Law

Microsoft Faces 'Multi-Billion' Pound Class Action, Stewarts Leads

The lawyers leading the case said it is one of the largest class actions to be filed in the U.K. Microsoft faces an opt-out class action that could be worth billions, lawyers leading the claim have ...