New Deep Learning Model Segments Lung Nodules in CT Scans
A new deep learning framework called CLAHE-RATSNet improves lung nodule segmentation in CT images by combining image enhancement with a ...
A new deep learning framework called CLAHE-RATSNet improves lung nodule segmentation in CT images by combining image enhancement with a ...
A new graph clustering methodology enables flexible hybrid simulation of district heating networks, balancing computational speed with physical accuracy through ...
A new model integrating BIM technology and graph optimization achieves 95.6% positioning accuracy for urban underground pipelines, reducing cumulative error ...
A study in Environmental Microbiome shows that combining high-fidelity long-read and short-read sequencing improves the recovery and accuracy of metagenome-assembled ...
An Adaptive Fuzzy–Cost Benefit Analysis framework integrating fuzzy inference and adaptive threshold optimization improved EEG cognitive state classification, enabling an ...
Researchers have developed SAIGE-QTL, an efficient Poisson mixed-model framework that directly analyzes single-cell read counts to substantially expand expression quantitative ...
A lightweight MobileNet model achieved 95.76 percent accuracy in identifying tomato leaf diseases across ten classes, offering an efficient diagnostic ...
Researchers report an improved YOLO model that detects small PCB surface defects with 90.63% sensitivity while reducing model size and ...
Unlike many earlier models, which are concentration restricted and fail at high molality, the new models are not concentration restricted: ...
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© 2026 Scienmag - Science Magazine