Abstract: The increasing incidence of lung cancer demands urgent attention from medical scientists. Advanced deep learning-based methods have demonstrated promising capabilities in detecting even ...
Abstract: Effective segmentation of brain tumor from MRI scans is crucial for clinical diagnosis. However, deep learning models prioritize either local or global features, failing to adequately ...
Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.
Introduction: Accurate segmentation of kidney masses and structure is essential for medical application including diagnosis and treatment. This research proposed the dual track hybrid VHUCS-Net ...
Objective: To investigate the feasibility and clinical value of RT-Mind, a convolutional neural network (CNN)-based auto-segmentation software, in delineating clinical target volume (CTV) and pelvic ...
Woody the dog required complex brain surgery at DoveLewis Veterinary Emergency & Specialty Hospital in Portland to treat his multilobular osteochondrosarcoma Kelli Bender is the Pets Editor at PEOPLE.
In the late summer of 2025, Woody the dog started having difficulty with his coordination, subtle changes that grew obvious over the next few months DoveLewis Veterinary Emergency & Specialty Hospital ...
Cancer is appearing in Americans earlier than ever before. However, many younger people are missing out on their screenings, which can lead to later-stage diagnoses with worse outcomes. Blood-based ...
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