[PDF] Top 20 Bladder Cancer Diagnosis using Artificial Neural Network
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Bladder Cancer Diagnosis using Artificial Neural Network
... classifying bladder cancers to specific diagnostic categories based on cancer stage (FREE, T1, T2, T3, T4) using ANN and ...trained using the 40 patient MRI ...MRI bladder cancer ... See full document
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MRI brain tumor detection using artificial neural network
... Brain tumor is one of the major causes for the increase in mortality among children and adults. A tumor is a mass of tissue t grows out of control of the normal forces that regulates growth (Pal and Pal, 1993). The ... See full document
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... of neural network is in its training & algorithm suggested by Rumelhart [9] is popular in this ...fault diagnosis in chemical processes [10]. fault diagnosis in complex chemical plants ... See full document
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... The neural system is arranged into hidden layers, input and output of the Artificial Neural Networks (ANNs). The neurons are joined together by a series of synaptic weights. An ANN is a powerful tool ... See full document
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Detection of Lung Cancer Nodule using Artificial Neural Network
... The cancer is dangerous disease for human life. The generic types of cancer in human body are Bladder, Breast, Colon and Rectal, Endometrial, Kidney, Leukemia, Lung, Melanoma, Non-Hodgkin Lymphoma, ... See full document
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Online Full Text
... fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the fault detection has been ... See full document
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A Comparative Experimental Study on Fault Diagnosis of Rolling Element Bearing Using Acoustic Emission and Soft Computing Techniques
... trained using extracted features from vibration signals for rolling element bearings ...of artificial neural network-based model for the fault detection of REBs using a back propagation ... See full document
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Title: DIAGNOSIS ON LUNG CANCER USING ARTIFICIAL NEURAL NETWORK
... Unchecked learning algorithms use redundant row data that have no tag for classmates or associations. The network must detect any existing patterns, properties, regulations, etc, if its parameters are to be ... See full document
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Application of Artificial Neural Network in miRNA Biomarker Selection and Precise Diagnosis of Colorectal Cancer
... early diagnosis of colorectal cancer (CRC) is associated with improved survival rates, and development of novel non-invasive, sensitive, and specific diagnostic tests is highly ...CRC diagnosis. ... See full document
9
Early Detection of Breast cancer using ANN
... breast cancer has become the leading cause of cancer deaths among ...breast cancer over the course of her life [1].Early detection of Breast cancer is ...breast cancer detection. Manual ... See full document
6
Study of artificial neural network scheme application in manufacturing industry for monitoring diagnosis bivariate process variation
... The GA represents solutions for chromosomes with a genotype and searches for the best solution using GA operation of selection, crossover and mutation. Chromosome is a structure of deoxyribonucleic acid (DNA), ... See full document
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Artificial Intelligence in Diagnosing Tuberculosis: A Review
... The feature selection for the input layer and estimation of the performance of the neural network is similar to[75]. The hidden layers consisted of 50 neurons on each layer. One single neuron at the output ... See full document
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An application of artificial neural network classifier for medical diagnosis
... brain. Neural networks are based around simplified models of biological ...powerful Artificial Intelligence (AI) techniques that have the capability to learn and memorise a set of data and construct weight ... See full document
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Diagnosis Of Alzheimer’s And Parkinson’s Disease Using Artificial Neural Network
... the diagnosis of a single type of dementia using computer aided ...dementia using a single or combination algorithms is medical ...dementia using an algorithm and it is a challenge to ... See full document
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Bipolar and Schizophrenia Disorders Diagnosis Using Artificial Neural Network
... the neural network consist of 34 so- ciodemographic and biochemical variables while the target output consist of the following outputs trainings classifications: 1) control or case group; 2) control or BD ... See full document
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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... pre- diagnosis stage for the prediction of Lung cancer, data mining of multi-pronged classifier approach is performing better than any individual classifier ...finding using multi directional ...the ... See full document
7
Prediction of prostate cancer by deep learning with multilayer artificial neural network
... layers using variables selected by stepwise regression analysis after 2,000 steps (Stepwise_ANN_5_hidden_layers in Table 4, its ROC curve in Figure 2), was precisely compared with the corresponding LR, as shown in ... See full document
13
Breast cancer diagnosis using artificial neural networks
... Table 4.4 BPN with sigmoid function projection results 2 hidden layers and the number of hidden neurons is 5 in the first layer The prediction results of the BP networks with different n[r] ... See full document
59
Texture Classification using Artificial Neural Network for Diagnosis of Skin Cancer
... One of the parameters that affect the accuracy of feed forward neural network is the learning rate; it is used to control the rate of weight adjustments. If the value of learning rate is too small then the ... See full document
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network
... AI: Artificial Intelligence; ANN: Artificial Neural Network; AUC: Area under the ROC curve; CAD: Computer Aided Diagnosis; CNN: Convolutional neural network; CWT: ... See full document
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