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.

書目詳細資料
Main Authors:	Islam, Tahsin, Absar, Shahriar, Nasif, S.M. Ali Ijtihad, Mridul, Sadman Sakib
其他作者:	Islam, MD.Saiful
格式:	Thesis
語言:	English
出版:	Brac University 2021
主題:	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
在線閱讀:	http://hdl.handle.net/10361/15677

相似書籍

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
由: Rahman, Afridi Ibn, et al.
出版: (2022)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
由: Niloy, Ahashan Habib, et al.
出版: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
由: Akhter, Nasrin
出版: (2023)

X-Ray (2D) and CT-scanned (3D) image matching for person identification
由: Hossain, Khondker Fariha, et al.
出版: (2018)

Analyzing students’ concentration in online courses through Webcam
由: Asif, Md., et al.
出版: (2024)

Covid-19 infected lung detection using machine learning
由: Islam, Md. Muntaha, et al.
出版: (2022)

Tomato leaf disease detection using convolutional neural network
由: Hasan, Md. Riazul, et al.
出版: (2023)

Skin cancer classification for seven types of skin lesions
由: Rahman, Md. Tawsifur, et al.
出版: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
由: Khan, Farhan Sakib, et al.
出版: (2022)

Deep 3D convolutional neural network in early detection of Lung cancer
由: Hossain, Khandoker Jobayer, et al.
出版: (2019)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
由: Shahriar, Farhan, et al.
出版: (2021)

Approaching transfer learning to identify correctly worn facial masks
由: Sadid, Tausif, et al.
出版: (2021)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
由: Farabi, Farhan, et al.
出版: (2023)

Smoke detection using deep Convolutional neural network
由: Niloy, Wahidul Hasan, et al.
出版: (2021)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
由: Niaz, H.M, et al.
出版: (2024)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
由: Kobra, Khadija-Tul, et al.
出版: (2022)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
由: Nag, Pollock, et al.
出版: (2023)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
由: Hossain, Mohammad Sakib, et al.
出版: (2023)

Identifying brain abnormalities using image processing and CNN models
由: Talukder, Ismat Shehrin, et al.
出版: (2021)

A comparative study of lung cancer prediction using deep learning
由: Mugdho, Aka Mohammad, et al.
出版: (2023)

Automatic waste classification using deep learning and computer vision techniques
由: Akash, MD., et al.
出版: (2023)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
由: Awwal, Alvina, et al.
出版: (2021)

An efficient deep learning approach to detect COVID-19 infected lungs using image data
由: Kabir, Asif Rezwan, et al.
出版: (2022)

X-Ray classification to detect COVID-19 using ensemble model
由: Solaiman, Ishmam Ahmed, et al.
出版: (2021)

An efficient face recognition model using multiple angular images and deep neural network architecture
由: Subah, Silma, et al.
出版: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
由: Mashraf, Chowdhury Zerif, et al.
出版: (2021)

Thoracic complication detection on chest X-rays using deep learning
由: Ratul, Rizwanul Hoque, et al.
出版: (2021)

Currently available dosage forms and the route of administration of drugs for COVID-19 treatments
由: Ahmed, Hummam Abrar
出版: (2023)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
由: Ismail, Sayem Mohammad, et al.
出版: (2021)

Citrus leaf disease detection by image processing
由: Chowdhury, Mahir Faisal, et al.
出版: (2024)

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

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

Crystals, x-rays and proteins
由: Sherwood, Dennis

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

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

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

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

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

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

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