Commentary proposes etiological tumor classification for clinical research
A 2026 commentary proposes classifying tumors as innate, acquired or combined-etiology while describing the framework and its therapeutic implications as ...
Tag: tumor classification
UAC-Net links brain-tumor typing and MRI segmentation in one model
UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated ...
AI Framework Reads Lung Tumors With Unusual Precision on CT Scans
A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...
AI Learns to Fake Ultrasound Images to Spot Breast Tumors More Accurately
Researchers in the Czech Republic have built a generative adversarial network that creates synthetic breast ultrasound images to train a ...
AI Reads Ultrasound to Sort Parotid Tumors With Striking Accuracy
A multicenter study shows a deep learning model called GobletNet can segment and classify parotid gland tumors on ultrasound with ...
Fuzzy–Rough Sets Speed Up the Hunt for Cancer Genes in Microarray Data
Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...
Meningiomas with brain invasion alone show better survival than other grade 2 tumors
A newly published study from a team of neurosurgeons and neuropathologists is challenging a long-standing assumption in brain tumor classification, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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