Optimal transport theory based GAN for medical image augmentation and classification

Optimal transport theory based GAN for medical image augmentation and classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografski detalji
Glavni autori:	Siddiki Shan, Md. Abdul Kahhar, Quaiyum, Md. Abdul, Saha, Sugata, Nayer Anik, S. M. Navin
Daljnji autori:	Rabiul Alam, Dr. Md. Golam
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	Optimal Transport(OT) Theory Generative Adversarial Networks (GANs) Unsupervised neural networks Wasserstein distance Maximum Mean Discrepancy(MMD) Chest X-Ray Covid-19 Viral pneumonia Lung opacity Natural language processing (Computer science) Machine learning
Online pristup:	http://hdl.handle.net/10361/19232

Similar Items

A GAN-based federated learning architecture for data augmentation of medical images
od: Al Rakin, Abdullah, i dr.
Izdano: (2023)

Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
od: Roy, Aditya, i dr.
Izdano: (2023)

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

Normalizing images in various weather and lighting conditions using Pix2Pix GAN
od: Tasnim, Sanjida, i dr.
Izdano: (2024)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
od: Sagor, Mostofa Kamal, i dr.
Izdano: (2021)

Thoracic complication detection on chest X-rays using deep learning
od: Ratul, Rizwanul Hoque, i dr.
Izdano: (2021)

Generating and compressing images from a large volume of discrete datasets using GANs along with different compression techniques and studying the results
od: Sajid, Mayeen Abedin, i dr.
Izdano: (2023)

Discrepancy analysis of Janata Bank Limited
od: Mukit, S. M. Abdul
Izdano: (2016)

Autism detection based on MRI images using Deep Learning
od: Mostafa, Sadab, i dr.
Izdano: (2023)

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
od: Ahasan, Md Rakibul
Izdano: (2022)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
od: Auvy, Akib Al Mahmud, i dr.
Izdano: (2023)

Molecules associated with the development of lung cancer
od: Rahman, Adree, i dr.
Izdano: (2023)

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

State of Chikungunya in various countries: a review
od: Hossain, Md. Shahnewaz
Izdano: (2018)

Protein biomarkers for Lung Cancer: a bioinformatic approach
od: Jeba, Joynob
Izdano: (2017)

Design of an arduino based Maximum Power Point Tracking (MPPT) solar charge controller
od: Dutta, Ananya, i dr.
Izdano: (2016)

A review on targeted therapies for lung cancer
od: Ashraf, Anushey
Izdano: (2023)

Influential user mining for viral and target marketing in social network through PageRank and Bayesian inference
od: Mahnaz, Sebonti, i dr.
Izdano: (2021)

Simulation of high energy cosmic ray showers using CORSIKA
od: Salam, Mohammed Shadman
Izdano: (2017)

Potential of liposomes for the treatment of lung cancer- a review
od: Mim, Shanzida
Izdano: (2023)

Recent developments in the Adeno-Associated Viral Gene Therapy for Non-Small Cell Lung Cancer during the past 20 years
od: Razna, Amrin Islam
Izdano: (2019)

A review on recent advances in drugs for lung cancer treatment
od: Noor, Fouzia
Izdano: (2024)

Impact of treatment size and therapy type in phase II clinical trials of non-small cell lung cancer
od: Rahman, Tasnim
Izdano: (2024)

An overview of the clinical management and challenges of treatments for the patients diagnosed with COVID-19 and lung carcinoma
od: Bristy, Israt Zerin
Izdano: (2021)

Self-report and test discrepancy evidence from national literacy survey in Bangladesh
od: Nath, Samir Ranjan
Izdano: (2019)

Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
od: Rahman, Alvee, i dr.
Izdano: (2019)

Elements of x-ray diffraction /
od: Cullity, B. D. (Bernard Dennis)
Izdano: (2002)

Principles of molecular virology /
od: Cann, Alan
Izdano: (2012)

Efficacy analysis and prediction in phase II clinical trials of non-small cell Lung Cancer
od: Hoque, Ismoth Ara
Izdano: (2024)

Knowledge, Attitude & perceptions of Chikungunya infection among affected individuals from Dhaka city
od: Islam, Nur
Izdano: (2018)

Design and optimization of a solar-powered water pumping system for irrigation and water storage purpose
od: Tanvir, Md. Shahrior, i dr.
Izdano: (2021)

Effect of performance status on efficacy endpoints in phase II trials of non-small cell lung cancer
od: Paul, Pulock
Izdano: (2024)

Bioinformatics analyses of key regulators of NF-κB pathway in relation with small cell lung carcinoma
od: Zangmo, Thinley
Izdano: (2024)

LRFMV: an efficient customer segmentation model for superstores
od: Toyeb, Md., i dr.
Izdano: (2021)

Problems and mis conceptions facing the primary language education in Bangladesh: an analysis of curricular and pedagogic practices
od: Banu, L.F. Apnan
Izdano: (2010)

About looking /
od: Berger, John
Izdano: (1991)

An improved deepfake detection using deep learning
od: Paul, Annay, i dr.
Izdano: (2023)

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

Performing sentiment analysis in Bangla microblog posts
od: Chowdhury, Shaika, i dr.
Izdano: (2017)

Perturb and observe based maximum power point tracking of wind power system
od: Hossain, Murad
Izdano: (2023)