Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Manylion Llyfryddiaeth
Prif Awduron:	Islam, Tahsin, Absar, Shahriar, Nasif, S.M. Ali Ijtihad, Mridul, Sadman Sakib
Awduron Eraill:	Islam, MD.Saiful
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2021
Pynciau:	Covid-19 Respiratory diseases X-ray CT-Scan Deep Neural Network CNN VGG19 Inception v3 MobileNetV2 Resnet-50 Rapid approach Neural networks (Computer science) Machine learning Respiratory agents
Mynediad Ar-lein:	http://hdl.handle.net/10361/15677

Eitemau Tebyg

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Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
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X-Ray (2D) and CT-scanned (3D) image matching for person identification
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Analyzing students’ concentration in online courses through Webcam
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Covid-19 infected lung detection using machine learning
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Tomato leaf disease detection using convolutional neural network
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Skin cancer classification for seven types of skin lesions
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Deep 3D convolutional neural network in early detection of Lung cancer
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An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
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Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
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Approaching transfer learning to identify correctly worn facial masks
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Explainable breast cancer detection from Histopathology images using transfer learning and XAI
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Smoke detection using deep Convolutional neural network
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Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
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Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
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Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
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Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
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Identifying brain abnormalities using image processing and CNN models
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A comparative study of lung cancer prediction using deep learning
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Automatic waste classification using deep learning and computer vision techniques
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
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An efficient deep learning approach to detect COVID-19 infected lungs using image data
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X-Ray classification to detect COVID-19 using ensemble model
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Thoracic complication detection on chest X-rays using deep learning
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An efficient face recognition model using multiple angular images and deep neural network architecture
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FoodieCal: a convolutional neural network based food detection and calorie estimation system
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Currently available dosage forms and the route of administration of drugs for COVID-19 treatments
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Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
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Citrus leaf disease detection by image processing
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Crystals, x-rays and proteins
gan: Sherwood, Dennis

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
gan: Datta, Pranab, et al.
Cyhoeddwyd: (2021)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
gan: Haque, Abid Hossain, et al.
Cyhoeddwyd: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
gan: Athina, Fahima Hasan, et al.
Cyhoeddwyd: (2022)

An interpretable deep learning approach to detect Alzheimer using MRI images
gan: Oni, Farhan Anzum, et al.
Cyhoeddwyd: (2023)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
gan: Chowdhury, Asif Hasan, et al.
Cyhoeddwyd: (2023)

Multi-hospital surveillance and antibiotic sensitivity among bacterial isolates of acute respiratory and enteric infection in underfive children in Dhaka, Bangladesh
gan: Rahat, Asifuzzaman
Cyhoeddwyd: (2019)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
gan: Tasnim, Sadia, et al.
Cyhoeddwyd: (2023)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
gan: Islam, Md. Nazmul
Cyhoeddwyd: (2023)

Detection of pneumonia from chest X-ray images using machine learning
gan: Priya, Afsana Rahman, et al.
Cyhoeddwyd: (2023)