Homomorphic encryption on deep learning in accurate prediction of brain tumour

Homomorphic encryption on deep learning in accurate prediction of brain tumour

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

Bibliografski detalji
Glavni autori:	Sarwar, Arafat, Hossain, Shakhawat, Bhuiyan, Risum Ahmed, Mahmud, Tanun
Daljnji autori:	Zaman, Shakila
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	Brain tumor Benign Malignant Deep learning Neural Network Homomorphic encryption Convolutional Neural Network(CNN) VGG16 VGG19 Paillier cryptosystem Support Vector Machine(SVM) ResNet50 Cognitive learning theory Neural networks (Computer science) Machine learning
Online pristup:	http://hdl.handle.net/10361/22044

Similar Items

Implementation of real-time learning on homomorphically encrypted visual inputs
od: Bhuiyan, Emtiaz MD Tafsir, i dr.
Izdano: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i dr.
Izdano: (2024)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i dr.
Izdano: (2022)

A domain and noise adversarial bird tune classification pipeline using deep neural network
od: Riya, Aparna Sarker, i dr.
Izdano: (2023)

An efficient ML approach to detect brain tumor using MRI images
od: Muktadir, MD. Arafat, i dr.
Izdano: (2024)

A machine learning approach to detect DeepFake videos
od: Hassan, Md. Mahedi, i dr.
Izdano: (2021)

Blockchain based e-voting system with homomorphic encryption and threshold signature
od: Probor, Mushfique Nasir, i dr.
Izdano: (2023)

Learning a deep neural network for predicting phishing website
od: Das, Robat, i dr.
Izdano: (2019)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i dr.
Izdano: (2021)

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

Brain hemorrhage detection using hybrid machine learning algorithm
od: Iqbal, Khondoker Nazia, i dr.
Izdano: (2022)

An efficient deep learning approach to classify white blood cells
od: Turja, Afif Ibna Kadir Khan, i dr.
Izdano: (2024)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
od: Ahmed, Istiak, i dr.
Izdano: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i dr.
Izdano: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
od: Alif, Al Amin, i dr.
Izdano: (2019)

Segmentation based Kidney Tumor Classification using Deep Neural Network
od: Mehedi, Md Humaion Kabir, i dr.
Izdano: (2022)

An advanced data fabric architecture leveraging homomorphic encryption and federated learning
od: Rieyan, Sakib Anwar, i dr.
Izdano: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
od: Shahriar, Hasan, i dr.
Izdano: (2022)

Using deep learning algorithms to detect violent activities
od: Ammar, S.M. Rojin, i dr.
Izdano: (2019)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i dr.
Izdano: (2019)

Deep Learning based Medicinal Plants Leaf Recognition
od: Mahalanabish, Tonusri
Izdano: (2023)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, i dr.
Izdano: (2018)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
od: Pasha, Maroof Ur Rahman
Izdano: (2016)

Brain tumor detection with convolutional neural network
od: Galib, Abrar Tahmid, i dr.
Izdano: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i dr.
Izdano: (2023)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
od: Haque, Samiha, i dr.
Izdano: (2021)

Detection of handwritten text using convolutional neural network
od: Jasim, Rabib Bin, i dr.
Izdano: (2024)

Visual object classification from fMRI data
od: Newaz, Syed Mishar, i dr.
Izdano: (2022)

Silent voice: harnessing deep learning for lip-reading in Bangla
od: Shaheen, Munia, i dr.
Izdano: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
od: Ifty, Md. Hasin Sarwar, i dr.
Izdano: (2024)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i dr.
Izdano: (2024)

Classification of retinal diseases from OCT images using deep learning models
od: Mokarrom, Md Saif, i dr.
Izdano: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i dr.
Izdano: (2022)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
od: Rahman, Rafeed, i dr.
Izdano: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
od: Islam, Roman, i dr.
Izdano: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
od: Ali, Syed Muaz
Izdano: (2023)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
od: Hossain, Shah Md. Shakhawath, i dr.
Izdano: (2024)

Fruit and vegetable freshness detection using deep learning
od: Haque, Md. Mahidul, i dr.
Izdano: (2023)

A machine learning approach to predict movie box-office success
od: Quader, Nahid, i dr.
Izdano: (2018)