Morning Overview on MSN

UCLA develops low-cost blood test to flag multiple cancers and diseases

Researchers at the University of California, Los Angeles have published a new blood test designed to detect multiple cancers ...
Regtechtimes on MSN

Investigation reveals how multi-million dollar fees were disguised as charitable donations to Epstein’s organizations

Newly released investigation records have brought fresh attention to how Jeffrey Epstein acted as a middleman in sensitive financial matters involving billionaire Leon Black. The documents show that ...
IEEE

Learning Compact Semantic Information and Reliable Pseudo-labels for Incomplete Multi-View Multi-Label Classification

Abstract: Multi-view data encompasses various data types, including multi-feature, multi-sequence, and multi-modal data. Multi-view multi-label classification aims to leverage the rich semantic ...
GitHub

Progressive Uncertainty-Aware Pretraining for Medical X-ray Classification

A novel deep learning framework that combines ImageNet pretraining with uncertainty-aware curriculum learning for robust multi-label chest X-ray classification. The key innovation is an adaptive ...
EurekAlert!

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

Electronic medical records (EMRs) enable healthcare institutions to digitally document patients’ clinical conditions, treatment processes, and diagnostic outcomes, supporting paperless clinical ...
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.
C&EN

DART Predictor: A Multi-Label Attention Model for High-Throughput Screening of Chemicals with Developmental and Reproductive Toxicity (DART)

State Key Laboratory of Soil Pollution Control and Safety, and Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
GitHub

Single-label multi-classification or multi-label multi-classification?

I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...
IEEE

Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...