A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI

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

Détails bibliographiques
Auteurs principaux:	Mubin, Kazi Ehsanul, Arthi, Noshin Tabassum, Rahman, Junayed, Rafi, G. M., Sheja, Tahsina Tanzim
Autres auteurs:	Alam, Md. Ashraful
Format:	Thèse
Langue:	en_US
Publié:	Brac University 2022
Sujets:	Federated Learning XAI Deep Learning Colorectal Cancer Convolutional Neural Network Image Classification ResNeXt50 Artificial intelligence Machine learning
Accès en ligne:	http://hdl.handle.net/10361/17630

Documents similaires

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
par: Tasnim, Anika, et autres
Publié: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
par: Ifty, Md. Hasin Sarwar, et autres
Publié: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
par: Athina, Fahima Hasan, et autres
Publié: (2022)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
par: Khan, Labib Hasan, et autres
Publié: (2023)

Heart attack prediction using machine learning and XAI
par: Ahsan, Mumtahina
Publié: (2023)

Classifying insect pests from image data using deep learning
par: Mohsin, Md. Raiyan Bin, et autres
Publié: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
par: Radiah, Faiza, et autres
Publié: (2024)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
par: Rahman, Masroor, et autres
Publié: (2023)

An efficient deep learning approach to classify white blood cells
par: Turja, Afif Ibna Kadir Khan, et autres
Publié: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
par: Ghosh, Kawshik Kumar, et autres
Publié: (2023)

Bank loan prediction using machine learning
par: Mahottam, Parthosarothi, et autres
Publié: (2023)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
par: Reza, Jamil Ur, et autres
Publié: (2023)

The role of SIRT6 in down regulation of colorectal cancer
par: Hridita, Rubya Tasnim
Publié: (2020)

Decipherable classification of glaucoma using deep neural network leveraging XAI
par: Chayan, Touhidul Islam, et autres
Publié: (2023)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
par: Fiona, Driciru, et autres
Publié: (2024)

Essentials of learning : the new cognitive learning for students of education /
par: Travers, Robert Morris William, 1913-

A secured federated learning system leveraging confidence score to identify retinal disease
par: Eshan, M Sakib Osman, et autres
Publié: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
par: Pranta, Kazi Al Refat, et autres
Publié: (2024)

Learning theories in childhood /
par: Gray, Colette, et autres
Publié: (2015)

How we learn and why we don't : student survival guide using the cognitive profile inventory /
par: Krause, Lois Breur
Publié: (2008)

Obscure face recognition using deep neural networks
par: Akash, MD Shahadat Hossain, et autres
Publié: (2023)

Repurposing Albendazole and Mebendazole, an antiparasitic drug in treating colorectal cancer- a review
par: Mondal, Shawon
Publié: (2023)

An interpretable transformer based approach to classify Malaria from blood cell images
par: Islam, Mehafuza, et autres
Publié: (2023)

Internship report on micro-learning blessing for generation Z
par: Uddin, Junayed
Publié: (2024)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
par: Marvin, Ggaliwango
Publié: (2022)

Self-learning game bot using deep reinforcement learning
par: Ananto, Azizul Haque
Publié: (2018)

Development of mobile learning system based on android app
par: Samrin, Sama, et autres
Publié: (2018)

Analysis of the impact of online education using EEG signals and machine learning algorithms
par: Hoque, Ehsanul, et autres
Publié: (2021)

Mastery learning: theory and practice.
Publié: (1971)

The conditions of learning /
par: Gagné, Robert M. (Robert Mills), 1916-2002
Publié: (1977)

Learning in adulthood : a comprehensive guide /
par: Merriam, Sharan B.
Publié: (1991)

Essentials of learning for instruction /
par: Gagné, Robert M. (Robert Mills), 1916-2002
Publié: (1988)

FakeDetect: Bangla fake news detection model based on different machine learning classifiers
par: Sraboni, Tasnuba, et autres
Publié: (2021)

Explainable artificial intelligence and model calibration for water quality prediction
par: Hellen, Nakayiza
Publié: (2022)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
par: Hasan, Kamrul, et autres
Publié: (2018)

Learning theories for teachers /
par: Bigge, Morris L.
Publié: (1982)

Understanding learning : influences and outcomes /
Publié: (2001)

An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
par: Hasan, Nahid
Publié: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
par: Badhon, Ariful Islam Mahmud, et autres
Publié: (2022)

How people learn : brain, mind, experience, and school /
Publié: (2000)