نتایج جستجو برای: computer aided lesion diagnosis

تعداد نتایج: 1116360  

Journal: :Lecture Notes in Computer Science 2021

Universal Lesion Detection (ULD) in computed tomography plays an essential role computer-aided diagnosis. Promising ULD results have been reported by coarse-to-fine two-stage detection approaches, but such methods still suffer from issues like imbalance of positive v.s. negative anchors during object proposal and insufficient supervision problem localization regression classification the region...

Journal: :Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 1999
M C Juan M Alcañiz C Monserrat V Grau C Knoll

Periodontal diseases are the major cause of tooth loss. The study of the evolution of these diseases is crucial to achieve adequate planning and treatment. Depth probing is essential to know the periodontal disease stage. In this paper we present a new system for Computer-Aided Periodontal Disease Diagnosis using computer vision. The system automates the depth probing and incorporates a colour ...

2017
Xiang Li Aoxiao Zhong Ming Lin Ning Guo Mu Sun Arkadiusz Sitek Jieping Ye James Thrall Quanzheng Li

Tissue characterization has long been an important component of Computer Aided Diagnosis (CAD) systems for automatic lesion detection and further clinical planning. Motivated by the superior performance of deep learning methods on various computer vision problems, there has been increasing work applying deep learning to medical image analysis. However, the development of a robust and reliable d...

2009
Anke Meyer-Bäse Thomas Schlossbauer Oliver Lange Axel Wismüller

An application of an unsupervised neural network-based computer-aided diagnosis (CAD) system is reported for the detection and characterization of small indeterminate breast lesions, average size 1.1 mm, in dynamic contrast-enhanced MRI. This system enables the extraction of spatial and temporal features of dynamic MRI data and additionally provides a segmentation with regard to identification ...

Journal: :Journal of the Korea Society of Computer and Information 2016

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