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Hybrid active shape model and deep neural network approach for lung cancer detection
Lung cancer is consistently ranked as the primary cause of cancer-related fatalities worldwide. The timely identification and effective treatment of...
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FLASH: Facial Landmark Detection Using Active Shape Model and Heatmap Regression
Detection of facial landmarks is a critical task for human face identification, emotion recognition in autopilot and real-time visual monitoring...
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Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape?
Starting from the Attachment theory as proposed by John Bowlby in 1969, and from the scientific literature about developmental processes that take...
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Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
Active inference is a first principles approach for understanding the brain in particular, and sentient agents in general, with the single imperative...
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SFF-RTI: an active multi-light approach to shape from focus
In this paper, we propose a methodology for the fusion of shape from focus and reflectance transformation imaging. This fusion of two seemingly...
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A level set model with shape prior constraint for intervertebral disc MRI image segmentation
Accurate intervertebral disc image segmentation is necessary for further treatment. However, existing methods are difficult to segment due to the...
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Image segmentation using a novel dual active contour model
For some complex images, low contrast, intensity inhomogeneity, and blurred edges are common phenomena, which inevitably cause difficulties in image...
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Equivalent convolution strategy for the evolution computation in parametric active contour model
Parametric active contour model is an efficient approach for image segmentation. However, the high cost of evolution computation has restricted their...
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Application of Active Subspaces for Model Reduction and Identification of Design Space
The design space is defined as the combination of materials and process conditions which provides assurance of quality. Identification of the design...
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Human face aging based on active appearance model using proper feature set
In this paper, a simulation of the human face evolution from youth to old age is presented. In this work, the goal is to maintain a person's...
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A higher performance shape from focus strategy based on unsupervised deep learning for 3D shape reconstruction
Shape From Focus (SFF) is one of the most popular strategies for reconstructing object’s 3D shape, which doesn’t require any additional technology....
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A registration algorithm for the infrared and visible images of apple based on active contour model
To study the fruit image fusion technology in the case of thermal infrared and visible heterogeneous sources and the method of online defect...
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Universal shape replication via self-assembly with signal-passing tiles
In this paper, we investigate shape-assembling power of a tile-based model of self-assembly called the Signal-Passing Tile Assembly Model (STAM). In...
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Fully convolutional neural network with attention gate and fuzzy active contour model for skin lesion segmentation
This study proposes an approach for segmentation of skin lesions from dermoscopic images based on fully convolutional neural network and active...
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Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios
Active learning (AL) algorithms are increasingly being used to train models with limited data for annotation tasks. However, the selection of data...
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A survey of deep learning-based 3D shape generation
Deep learning has been successfully used for tasks in the 2D image domain. Research on 3D computer vision and deep geometry learning has also...
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Evolution algorithm of parametric active contour model based on Gaussian smoothing filter
At present, the parametric active contour model is one of the most well-known and widely used image segmentation techniques in image processing and...
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Morphological active contour based SVM model for lung cancer image segmentation
Lung cancer is currently the leading cause of cancer-related death. To lower the mortality from lung cancer, early detection is crucial. A precise...
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Breast Cancer Detection and Classification from Mammogram Images Using Multi-model Shape Features
Nowadays, breast cancer has become one of the common diseases and is leading in causes of deaths in women. Early detection of breast cancer is very...
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Robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference
When faced with uncertainty in the world, biological agents actively sense the environment to acquire the most informative input to fulfil their...