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Introduction: Esophageal cancer remains a major global health burden and is among the leading causes of cancer-related deaths. Accurate evaluation of tumor regression grade (TRG) after neoadjuvant ...
GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...
If you see multiple processes of the same program running on your Windows 11 PC, there is no need to panic, as this is a normal behavior of all Windows computers. However, if you experience ...
ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...
This paper utilizes multiple instance learning. The idea is that you train a bunch of weakly supervised classifiers on small amounts of data. This probably means it would be the train data for ...
Abstract: Emotion recognition from EEG signals offers significant advantages in affective computing, as EEG more accurately reflects internal emotional states than other modalities, such as facial ...
Introduction: Colorectal cancer is the third most common cancer worldwide, and accurate pathological diagnosis is crucial for clinical intervention and prognosis assessment. Although deep learning has ...
Summary: New research reveals that individual neurons follow multiple learning rules simultaneously, challenging the long-held belief that synaptic plasticity operates uniformly throughout the brain.
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