Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning

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

Xehetasun bibliografikoak
Egile Nagusiak:	Niloy, Ahashan Habib, Shiba, Shammi Akhter, Fahim, S.M. Farah Al, Faria, Faizun Nahar, Rahman, Md. Jamilur
Beste egile batzuk:	Parvez, Mohammad Zavid
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Confusion matrix Pneumonia CT scan X-ray Convolutional Neural Network Deep learning Machine learning COVID-19 COVID-19 (Disease)
Sarrera elektronikoa:	http://hdl.handle.net/10361/15147

Antzeko izenburuak

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

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
nork: Islam, Tahsin, et al.
Argitaratua: (2021)

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

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

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

Learning Loss in Pandemic: Govt to buy digital contents for students
nork: Byron, Rejaul Karim, et al.
Argitaratua: (2021)

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
nork: Ahmed, Sarder Tanvir, et al.
Argitaratua: (2024)

Detection of alzheimer's disease using deep learning
nork: Hasan, Mahmudul, et al.
Argitaratua: (2021)

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

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

Current situation of NGO-run underprivileged primary schools on ‘continuity of education’ during COVID-19 outbreak
nork: Touhid, Fahad Bin
Argitaratua: (2021)

Detecting fake news on Covid-19 using machine learning algorithms
nork: Hossain, Farhan, et al.
Argitaratua: (2023)

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

Teaching-learning online during Covid-19: exploring the experiences of the teachers of government primary schools of Bangladesh
nork: Rabbi, Faisal Amin
Argitaratua: (2021)

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

Lung cancer detection and classification using machine learning
nork: Arefin, Mahbubul, et al.
Argitaratua: (2023)

Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
nork: Sajid, Abul Kasem, et al.
Argitaratua: (2021)

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

Covid-19: A transnational observation
nork: Kabir, Nahid Afrose
Argitaratua: (2020)

Consequential factors influencing student’s learning experience in online team teaching of computer programming courses
nork: Anwar, Md. Tawhid
Argitaratua: (2024)

Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
nork: Tabassum, Tahia, et al.
Argitaratua: (2021)

Clinical features & outcomes of hospitalized patients with Covid-19 in Dhaka: a single-centered cross-sectional descriptive study
nork: Sakib, KM Rashidul Islam
Argitaratua: (2024)

Economic crisis prediction due to pandemic outbreak using machine learning
nork: Ahmed, Tanvir, et al.
Argitaratua: (2021)

An assessment of knowledge and uptake of COVID-19 vaccine among the school going students at Cox Bazar in Bangladesh
nork: Das, Nikkon Ranjan
Argitaratua: (2023)

Experiences of volunteers as change agents for prevention of COVID-19 in Cox’s Bazaar, Bangladesh: an exploratory qualitative study
nork: Mariam, Warisha
Argitaratua: (2023)

Optimal transport theory based GAN for medical image augmentation and classification
nork: Siddiki Shan, Md. Abdul Kahhar, et al.
Argitaratua: (2023)

Analysis of the impact of online education using EEG signals and machine learning algorithms
nork: Hoque, Ehsanul, et al.
Argitaratua: (2021)

Credit card fraud detection using machine learning techniques
nork: Kabir, Tasmia, et al.
Argitaratua: (2021)

Socio-Economic Impact Assessment of COVID-19 and Policy Implications for Bangladesh
nork: Rahman, Sultan Hafeez, et al.
Argitaratua: (2022)

COVID-19: The next steps for the World
nork: Mridha, Malay Kanti
Argitaratua: (2022)

COVID-19’s Impact on Bangladesh Economy
nork: Siddiquee, Muhammad Shahadat Hossain, et al.
Argitaratua: (2022)

Should education be quarantined too?
nork: Upoma, Ipshita Bonhi
Argitaratua: (2020)

COVID-19 vaccination: Willingness and practice in Bangladesh
nork: Faruk, Avinno, et al.
Argitaratua: (2024)

Implication of COVID 19 on IT industry: focusing automation solutionz
nork: Karim, Rabita
Argitaratua: (2021)

Covid 19 pandemic is a prominent Global Crisis: Review of the Literature
nork: Zaman, Farzana, et al.
Argitaratua: (2021)

Exploring the practice of alternative assessment during Covid-19 of Bangla Medium Secondary Level Teachers and students in Bangladesh
nork: Noor, Samia
Argitaratua: (2023)

Comparing knowledge and practice of Covid-19 vaccination between general school (Grade 6 to 9) and madrasa-going students (Grade 6 to 9 equivalent) at Cox’s Bazar, Bangladesh
nork: Neeher, Nishantika
Argitaratua: (2023)

Knowledge and practices regarding Covid-19 prevention among students of selected madrasas in Cox’s Bazar, Bangladesh
nork: Blasius, Camilla Megusa
Argitaratua: (2023)

An overview on Covid-19 and invention of its treatment by drugs
nork: Nawer, Anika
Argitaratua: (2022)

COVID-19 : the great reset /
nork: Schwab, Klaus
Argitaratua: (2020)