A study evaluated agreement between 10 AI digital pathology tools in assessing IHC-based HER2 expression and found the most variability in identifying HER2-low samples.
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.
St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
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