14 Result(s)
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Chapter and Conference Paper
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging
Image scale carries crucial information in medical imaging, e.g. the size and spatial frequency of local structures, lesions, tumors and cell nuclei. With feature transfer being a common practice, scale-invari...
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Chapter and Conference Paper
A Lung Graph–Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images
This article presents a novel graph–model approach encoding the relations between the perfusion in several regions of the lung extracted from a geometry–based atlas. Unlike previous approaches that individuall...
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Chapter and Conference Paper
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment
The number density of scatterers in tumor tissue contribute to a heterogeneous ultrasound speckle pattern that can be difficult to discern by visual observation. Such tumor stochastic behavior becomes even mor...
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Chapter and Conference Paper
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma
Medulloblastoma (MB) is a type of brain cancer that represent roughly 25% of all brain tumors in children. In the anaplastic medulloblastoma subtype, it is important to identify the degree of irregularity and ...
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Chapter and Conference Paper
USYD/HES-SO in the VISCERAL Retrieval Benchmark
This report presents the participation of our joint research team in the VISCERAL retrieval task. Given a query case, the cases with highest similarities in the database were retrieved. 5 runs were submitted f...
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Chapter and Conference Paper
Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis
Pulmonary embolism is a common condition with high short–term morbidity. Pulmonary embolism can be treated successfully but diagnosis remains difficult due to the large variability of symptoms, which are often...
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Chapter and Conference Paper
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons
Epilepsy is a disorder of the brain that can lead to acute crisis and temporary loss of brain functions. Surgery is used to remove focal lesions that remain resistant to treatment. An accurate localization of ...
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Chapter and Conference Paper
Multiscale Lung Texture Signature Learning Using the Riesz Transform
Texture–based computerized analysis of high–resolution computed tomography images from patients with interstitial lung diseases is introduced to assist radiologists in image interpretation. The cornerstone of ...
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Chapter and Conference Paper
Using Multiscale Visual Words for Lung Texture Classification and Retrieval
Interstitial lung diseases (ILDs) are regrou** over 150 heterogeneous disorders of the lung parenchyma. High–Resolution Computed Tomography (HRCT) plays an important role in diagnosis, as standard chest x–ra...
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Chapter and Conference Paper
Overview of the Second Workshop on Medical Content–Based Retrieval for Clinical Decision Support
The second workshop on Medical Content–Based Retrieval for Clinical Decision Support took place at the MICCAI conference in Toronto, Canada on September 22, 2011. The workshop brought together more than 40 reg...
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Chapter and Conference Paper
Lung Texture Classification Using Locally–Oriented Riesz Components
We develop a texture analysis framework to assist radiologists in interpreting high–resolution computed tomography (HRCT) images of the lungs of patients affected with interstitial lung diseases (ILD). Novel t...
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Chapter and Conference Paper
3D Case–Based Retrieval for Interstitial Lung Diseases
In this paper, a computer–aided diagnosis (CAD) system that retrieves similar cases affected with an interstitial lung disease (ILDs) to assist the radiologist in the diagnosis workup is presented and evaluate...
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Chapter and Conference Paper
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR
In the ImageCLEF image retrieval competition multimodal image retrieval has been evaluated over the past seven years. For ICPR 2010 a contest was organized for the fusion of visual and textual retrieval as thi...
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Chapter and Conference Paper
Learning a Frequency–Based Weighting for Medical Image Classification
This article describes the use of a frequency–based weighting developed for image retrieval to perform automatic annotation of images (medical and non–medical). The techniques applied are based on a simple tf/idf
