A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

Mostrar otras versiones (1)

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalles Bibliográficos
Autores principales:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Otros Autores:	Alam, Md. Golam Rabiul
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2023
Materias:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Federated learning Privacy Medical informatics Cognitive science
Acceso en línea:	http://hdl.handle.net/10361/21851

Ejemplares similares

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

Detection of coronary artery blockage at an early stage using effective deep learning technique
por: Promit, Tahmid Ashrafee, et al.
Publicado: (2023)

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

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

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
por: Shahriar, Hasan, et al.
Publicado: (2022)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
por: Farhan, Rafid, et al.
Publicado: (2024)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
por: Mim, Ankhi Akter, et al.
Publicado: (2024)

Diabetic retinopathy detection and classification by using deep learning
por: Hossain, Shahriar, et al.
Publicado: (2022)

A deep learning approach towards soft biometrics attributes prediction using CNN
por: Kibria, Maharab, et al.
Publicado: (2022)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
por: Nazmee, Namirah, et al.
Publicado: (2024)

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

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

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

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
por: Nahar, Jannatun, et al.
Publicado: (2022)

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

Owning up
por: Adams, Katherine

Analyzing security threats and mitigation techniques for fog computing in IoT-enabled smart cities
por: Emon, Sheikh Sadi, et al.
Publicado: (2024)

Gender classification in Bangla language using deep learning-based voice analysis
por: Hakim, Talukder Juhaer, et al.
Publicado: (2024)

Analyzing user data privacy in android mobile OS
por: Miah, Abdul Momen, et al.
Publicado: (2023)

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

Personalization in federated recommendation system using SVD++ with explainability
por: Patwary, Kabbya Kantam, et al.
Publicado: (2022)

Security in computing /
por: Pfleeger, Charles P., 1948-
Publicado: (2003)

Who knows : safeguarding your privacy in a networked world /
por: Cavoukian, Ann
Publicado: (1997)

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

Skin lesion classification using different CNN models
por: Oli, Md. Yahea Sultan
Publicado: (2023)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
por: Esha, Ishraq Ahmed, et al.
Publicado: (2023)

DenseNet based skin lesion classification and melanoma detection
por: Munaf, Arifuzzaman, et al.
Publicado: (2021)

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

An efficient deep learning approach to predict heart failure from image data using ejection fraction
por: Tanvir, Nazmul Karim, et al.
Publicado: (2023)

Advanced artificial intelligence self balanced robot for home security
por: Shourove, MD. Niaz Sharif, et al.
Publicado: (2018)

Law for computer scientists and other folk /
por: Hildebrandt, Mireille

Translational informatics in smart healthcare /
Publicado: (2017)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
por: Auvy, Akib Al Mahmud, et al.
Publicado: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
por: Khisa, Pushpakali, et al.
Publicado: (2024)

The impact of proper information management and data storage for long term decision-making business process and risk mitigation at MNCs – A perspective from Chevron Bangladesh
por: Sumaya
Publicado: (2024)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
por: Nivrito, AKM, et al.
Publicado: (2016)

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

The Salome Ensemble
por: Ginsberg

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

Implementation of real-time learning on homomorphically encrypted visual inputs
por: Bhuiyan, Emtiaz MD Tafsir, et al.
Publicado: (2021)