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Showing 1 to 4 of 4 for “"Medical image classification"”.
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Accelerating research on 3D medical image classification and regression
Contains fulltext : 315690.pdf (Publisher’s version ) (Open Access)
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Visual feature learning with application to medical image classification
… hand-crafted features have been explored for medical image classification, which include SIFT and Local Binary Patterns (LBP). However, hand-crafted features may not be optimally discriminative for classifying images from particular domains (e.g. colonoscopy), as not necessarily tuned to the …
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Deep learning and localized features fusion for medical image classification
<p>"Local image features play an important role in many classification tasks as translation and rotation do not severely deteriorate the classification process. They have been commonly used for medical image analysis. In medical applications, it is important to get accurate diagnosis/aid results in …
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Multi-Level Learning Approaches for Medical Image Understanding and Computer-aided Detection and Diagnosis
… of computer and information technologies, medical imaging has become one of the major sources of information for therapy and research in medicine, biology and other fields. Along with the advancement of medical imaging techniques, computer-aided detection and diagnosis (CAD/CADx) has …