Detection of Lung Cancer with the Fusion of Computed Tomography and Positron Emission Tomography

Kaur, Jaspreet; Pancholi, Sidharth; Joshi, Amit M.

doi:10.1007/978-981-10-8660-1_72

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…In papers [21], [1] they have worked on certain statistical features [42]. Five features in the time domain is represented below:…”

Section: Time Domain Feature Extractionmentioning

confidence: 99%

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis

Kokate,

Pancholi,

Joshi

2021

Preprint

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The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities. Classification of Cognitive-Motor Imagery activities from EEG signals is a critical task. Hence proposed a unique algorithm for classifying left/right-hand movements by utilizing Multi-layer Perceptron Neural Network. Handcrafted statistical Time domain and Power spectral density frequency domain features were extracted and obtained a combined accuracy of 96.02%. Results were compared with the deep learning framework. In addition to accuracy, Precision, F1-Score, and recall was considered as the performance metrics. The intervention of unwanted signals contaminates the EEG signals which influence the performance of the algorithm. Therefore, a novel approach was approached to remove the artifacts using Independent Components Analysis which boosted the performance.Following the selection of appropriate feature vectors that provided acceptable accuracy. The same method was used on all nine subjects. As a result, intra-subject accuracy was obtained for 9 subjects 94.72%. The results show that the proposed approach would be useful to classify the upper limb movements accurately.

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“…In papers [21], [1] they have worked on certain statistical features [42]. Five features in the time domain is represented below:…”

Section: Time Domain Feature Extractionmentioning

confidence: 99%

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis

Kokate,

Pancholi,

Joshi

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

VIS–NIR spectral signature and quantitative analysis of HeLa and DU145 cell line

Ghani

Sudik

Omar

et al. 2019

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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Detection of Lung Cancer with the Fusion of Computed Tomography and Positron Emission Tomography

Cited by 2 publications

References 19 publications

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis

VIS–NIR spectral signature and quantitative analysis of HeLa and DU145 cell line

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