Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) [electronic resource] / Ramesh Manza, Bharti Gawali, Pravin Yannawar, Filbert Juwono, editors.
Material type:
- 9464631961
- 9789464631968
- 006.3/7 23/eng/20241107
- TA1634
Description based upon print version of record.
Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- An Improved Computer Aided System for Lung Cancer Detection using Image Processing Techniques -- 1 Introduction -- 2 Literature survey -- 3 Methodology -- 4 Result -- 5 Conclusion -- References -- Automated Detection of Tuberculosis Based on Cantilever Biosensor -- 1 Introduction -- 2 Bio-Mems Cantilever Sensor -- 3 Experimental Details -- 4 Result and Discussion -- References
Diagnosing Microscopic Blood Samples for Early Detection of Leukemia by Deep and Hybrid Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Description of Two Datasets -- 3.2 Pre-processing -- 3.3 Convolutional Neural Networks (CNN) -- 3.4 Hybrid of Deep and Machine Learning -- 4 Experimental Result -- 4.1 Splitting Dataset -- 4.2 Evaluation Metrics -- 4.3 CNN Models Results -- 4.4 Results of the Hybrid CNN with SVM Algorithm -- 5 Discussion -- 6 Conclusion -- References -- Lung Cancer Nodules Detection Using Ideal Features Extraction Technique in CT Images
1 Introduction -- 2 Related Work -- 3 Methods and materials -- 3.1 Dataset -- 3.2 Image Preprocessing -- 3.3 Segmentation -- 3.4 Feature Extraction -- 3.5 Classification Using Hybrid-CNN -- 4 Result and Discussion -- 5 Conclusion -- References -- Fuzzy Level Set Search and Rescue Optimization (FLSSR) Based Segmentation of Pediatric Brain Tumor -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Preprocessing -- 3.2 Fuzzy Level Set Search and Rescue Optimization (FLSSR) for Segmentation Process: -- 4 Results and Discussions -- 5 Performance Evaluation -- 6 Conclusion -- References
Investigating EEG Images of Cognitive Actions for Robotic Arm -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants -- 3.2 Technical Analysis -- 3.3 Analyzing .edf Files via EEGLAB -- 3.4 Robotic Arm Overview -- 3.5 Active Region Identification -- 3.6 ERD and ERS for the Components in Frontal Region -- 4 Performance evaluation of the Robotic Arm -- 5 Result -- 6 Conclusion -- References -- Localization of Intervertebral Discs Using Deep-Learning and Region Growing Technique -- 1 Introduction -- 2 Review of the Literature -- 3 Proposed Methodology -- 3.1 Data
3.2 Pre-processing -- 3.3 Proposed Method -- 4 Results and Discussion -- 4.1 Evaluation Matrices -- 4.2 Effect of Hourglass Attention Mechanism -- 5 Conclusion -- References -- Identification of Skin Disease Using Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Method and Techniques -- 3.1 Input Images -- 3.2 Image Preprocessing -- 3.3 Filtering Techniques -- 3.4 Gaussian Filter -- 3.5 Image Segmentation -- 3.6 Support Vector Machine (SVM) -- 3.7 K-nearest Neighbor (KNN) -- 3.8 Feature Extraction -- 3.9 Color Moments -- 3.10 Texture Feature Extraction -- 4 Performance Measures
5 Result and Discussion
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WorldCat record variable field(s) change: 050, 650
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