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.
A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...
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: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
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