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Deep learning–based high-throughput phenotyping for tiller quantification in interspecific bentgrass hybrids using YOLOv8

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Deep learning–based high-throughput phenotyping for tiller quantification in interspecific bentgrass hybrids using YOLOv8

Dennis W. Ferm et al · Frontiers Media S.A · 2026 · ISSN 1664-462X

IntroductionTiller production is a critical determinant of turfgrass canopy density and plant performance, yet manual tiller counting is too labor-intensive for large breeding programs.MethodsTo address this limitation, ...

LCC TENDOlBsYW50IGN1bHR1cmU~Idioma eng

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CMRA-DETR: a lightweight and high-accuracy detection framework for MRI-based brain tumor identification

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CMRA-DETR: a lightweight and high-accuracy detection framework for MRI-based brain tumor identification

Cai Weng et al · Frontiers Media S.A · 2026 · ISSN 2296-858X

IntroductionBrain tumor lesions in MRI images are characterized by low contrast, indistinct boundaries, and irregular morphology, posing substantial challenges for automated detection. RT-DETR provides an end-to-end, NMS...

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Feature stabilization in convolutional neural networks using Proportional Integral Controller for lung nodule classification

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Feature stabilization in convolutional neural networks using Proportional Integral Controller for lung nodule classification

V. Sangeetha et al · Frontiers Media S.A · 2026 · ISSN 2624-8212

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Multi-FusNet–convolutional neural network with improved Huber loss function for plant leaf disease detection and classification

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Multi-FusNet–convolutional neural network with improved Huber loss function for plant leaf disease detection and classification

B. S. Shruthi et al · Frontiers Media S.A · 2026 · ISSN 1664-462X

BackgroundRecently, plant disease detection and classification have become major concerns in agriculture. Early detection of plant diseases supports farmers to take precautionary actions to prevent the spread of infectio...

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Skin tumor identification by means of convolutional neural network and improved gray wolf optimizer

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Skin tumor identification by means of convolutional neural network and improved gray wolf optimizer

Mei Ou et al · Frontiers Media S.A · 2026 · ISSN 2234-943X

IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...

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