Abstract: Accurate pathological image segmentation is crucial for the clinical diagnosis of breast cancer. However, existing methods of pathological segmentation face challenges due to the variability ...
An exhibition at the Rijksmuseum in Amsterdam reminds us that photography has always had a complicated relationship with the truth. By Nina Siegal Reporting from Amsterdam On the cover of a German ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Forbes contributors publish independent expert analyses and insights. Davey Winder is a veteran cybersecurity writer, hacker and analyst. A newly published threat intelligence report by analysts at ...
A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective in evaluating ...
This is code for our work "Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images". The implementation code of article"Cui W, Meng D, Lu ...
The implementation code of article"Cui W, Meng D, Lu K, et al. Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model[J]. Biomedical Signal Processing ...
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