Open-source suite exposes how algorithms change porous-stone measurements
An open-source application unifies 14 pore-segmentation methods with colour and ageing analysis, revealing that identical stone images can produce image-porosity ...
An open-source application unifies 14 pore-segmentation methods with colour and ageing analysis, revealing that identical stone images can produce image-porosity ...
A software evaluation found that the open-source ml4paleo pipeline performed best on a high-contrast fossil tomography dataset, while its default ...
A multimodal SegFormer system measured live-chicken shank length through anatomical masks and geometric anchors, achieving low repeated-measurement variation but substantial ...
For millions of people living with gout, the painful reality of the disease is written in lumps of crystallized uric ...
A random forest pseudo-labeling pipeline trains a compact deep learning model to segment freeze damage pixel-wise in hyperspectral imagery, cutting ...
Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...
Researchers in India report a hybrid dual-attention pyramidal deep learning model that detects liver tumors on CT scans with 96.52 ...
An adaptive porosity-based segmentation method called Smart Threshold replaces fixed thresholds in apple CT imaging, revealing cultivar-specific tissue architecture and ...
Every cancer diagnosis begins with a slide. A thin slice of tumor tissue is stained, mounted on glass, and examined ...
Multiple sclerosis is a disease of accumulated evidence. Radiologists count and measure the bright white matter lesions that scar the ...
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© 2025 Scienmag - Science Magazine