Deep learning based medical X-ray image recognition and classification

Deep learning based medical X-ray image recognition and classification

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Khan, Md. Rakib Hossain
Άλλοι συγγραφείς:	Amitabha Chakrabarty
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	BRAC University 2019
Θέματα:	Image processing. Pattern recognition systems.
Διαθέσιμο Online:	http://hdl.handle.net/10361/11426

Παρόμοια τεκμήρια

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Facial recognition using dynamic image processing
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Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
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Pattern classification /
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Cancer classification using deep learning from medical image data
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Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
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Image classification using deep neural network for efficient identification of traffic sign
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Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
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Fruit and vegetable freshness detection using deep learning
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Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
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Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
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Structurally and semantically coherent deep image inpainting
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Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
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Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
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Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
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A novel approach for digital image watermarking
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Hardware architecture design of face recognition system based on FPGA
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An efficient way to convert 1D signal to 2D digital image using energy values
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Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
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Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
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Single and multi-view 2D image processing for enhanced 3D object reconstruction
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A Comparative study on Bengali handwritten character recognition and prediction using CNN
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Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
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Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
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A comparative analysis of the different CNN-LSTM model caption generation of medical images
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Fake news pattern recognition using linguistic analysis
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Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
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Neural networks for pattern recognition /
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An emergency based image filtering system
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Image encryption and decryption using computer generated holography
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Digital Image processing using MATLAB /
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Image processing, analysis, and machine vision /
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Exploring deep features: deeper fully convolutional neural network for image segmentation
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Skin disease detection and classification using deep learning
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Phase Transitions in Machine Learning
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Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
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