Results 251 to 260 of about 253,119 (310)

Contextual image classification

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Brain Tumour Classification Model Based on Spatial Block-Residual Block Collaborative Architecture with Strip Pooling Feature Fusion. [PDF]

J Imaging
Tang M, Zhou X, Li Z.
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A hybrid CNN-transformer model with adaptive activation function for potato leaf disease classification. [PDF]

Sci Rep
Mondal A, Chatterjee A, Avazov N.
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Implementation of a contextual classification system of orbital images compatible with the SITIM system.

, 1992
Ronei Marcos de. MORAES
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A hybrid attention network for accurate breast tumor segmentation in ultrasound images. [PDF]

Sci Rep
Aslam MA, Naveed A, Ahmed N, Ke Z.
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Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization. [PDF]

Sci Rep
Vijayalakshmi S, Manoharan JS, Nivetha B, Sathiya A.   +3 more
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Classification of Alzheimer's Disease Using Cnn-Based Features and Vit-Global Contextual Patterns from MRI Images

Aliyu Abubakar, Yunusa Jibrin, Mahmoud Bukar Maina, Ali Bukar Maina   +3 more
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Detection of facilities in satellite imagery using semi-supervised image classification and auxiliary contextual observables

Neal R. Harvey
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Pyramidal contextual classification of SAR images

1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002
Pyramid-based classification techniques have shown great performance when compared to global classification methods. However, the accuracy becomes very low when spectral parameters only are considered. A new classification method is proposed which deals with integration of two algorithms: the hierarchical image segmentation by step-wise optimization to
G.B. Benie, J.-M. Boucher, S. Plehiers, A. Massalabi, S. Wang   +4 more
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Contextual classification of high-resolution satellite images

2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009
We propose a non-homogeneous Conditional Random Field built over an adjacency graph of superpixels for contextual classification of high-resolution satellite images. By introducing the contextual histogram descriptor, our model includes spatially dependent unary and pairwise potentials that capture contextual interactions of the data as well as the ...
Olfa Besbes, Nozha Boujemaa, Ziad Belhadj   +2 more
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