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We propose a simple, yet effective approach for real-time hand pose estimation from single depth images using three-dimensional Convolutional Neural Networks (3D CNNs). Image based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to the lack of 3D spatial information. Our proposed 3D CNN taking a 3D volumetric representation of the hand depth image as input can...
We propose in this paper a deep learning model based on convolutional neural network (CNN) for biopsy image grading. The model outputs a vector of scores indicating presence or severity of the target histopathological characteristics. Within the model, we first design a 7-layer CNN for feature representation and high level concept extraction. Each biopsy image is expressed as a feature vector through...
Tongue diagnosis plays an important role in Traditional Chinese Medicine. However, due to its experience-based nature, traditional tongue diagnosis has to be implemented by specialists and there is few computerized tongue diagnosis method. In this paper, we proposed a novel tongue diagnosis method developed on the basis of Java language for Android platform. It can obtain tongue outline accurately...
Cervical spondylosis (CS) is a disease caused by nonspecific degenerative disorders, therefore it requires high demands for diagnosis due to its diversity and complexity. Patient-reported outcomes (PRO) assessment techniques are on the foundation of psychometrics, which obtain patients' own feelings about daily life, health, subjective satisfaction with treatment and other aspects of personal experience...
An approach based on data mining technology is put forward to evaluate the effect of tumor treatment. Firstly, cases are clustered according to the initial state of cancer patients, such as age, sex and tumor attributes. Second, the efficacy of magnetic therapy is classified based on pre and post information (mainly tumor image information) of the patient. After analyzing the images of cancer in magnetic...
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