Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks

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

Opis bibliograficzny
Główni autorzy:	Awwal, Alvina, Shomee, Homaira Huda, Sadat, Sayed Us, Amin, Sadia Nur
Kolejni autorzy:	Parvez, Mohammad Zavid
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	Convolutional Neural Network (CNN) Alzheimer’s Disease (AD) Transfer Learning Neural Network (NN) MRI Deep Learning Average Ensemble VGG19 Inception-ResNet-v2 ResNet152v2 EfficientNetB5 EfficientNetB6
Dostęp online:	http://hdl.handle.net/10361/15161

Podobne zapisy

Brain tumor segmentation from MRI images using convolutional neural networks
od: Khan, Mushfiqur Rahman
Wydane: (2024)

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

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i wsp.
Wydane: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
od: Shahriar, Farhan, i wsp.
Wydane: (2021)

Plant disease detection using convolutional neural network
od: Hossain, Mohammad Shifat, i wsp.
Wydane: (2021)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
od: Athina, Fahima Hasan, i wsp.
Wydane: (2022)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
od: Khan, Farhan Sakib, i wsp.
Wydane: (2022)

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

Automatic waste classification using deep learning and computer vision techniques
od: Akash, MD., i wsp.
Wydane: (2023)

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

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
od: Niaz, H.M, i wsp.
Wydane: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
od: Mashraf, Chowdhury Zerif, i wsp.
Wydane: (2021)

A comparative study of lung cancer prediction using deep learning
od: Mugdho, Aka Mohammad, i wsp.
Wydane: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
od: Sarmi, Kaniz Fatima, i wsp.
Wydane: (2022)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i wsp.
Wydane: (2024)

An Efficient deep learning approach to detect Brain Tumor using MRI images
od: Islam, Annur Tasnim, i wsp.
Wydane: (2022)

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

Analyzing students’ concentration in online courses through Webcam
od: Asif, Md., i wsp.
Wydane: (2024)

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

Tomato leaf disease detection using convolutional neural network
od: Hasan, Md. Riazul, i wsp.
Wydane: (2023)

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

An Analysis on Bengali handwritten conjunct character recognition and prediction
od: Munawar, Maazin, i wsp.
Wydane: (2021)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i wsp.
Wydane: (2023)

Approaching transfer learning to identify correctly worn facial masks
od: Sadid, Tausif, i wsp.
Wydane: (2021)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i wsp.
Wydane: (2023)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
od: Haque, Abid Hossain, i wsp.
Wydane: (2024)

Skin cancer classification for seven types of skin lesions
od: Rahman, Md. Tawsifur, i wsp.
Wydane: (2024)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
od: Reza, Jamil Ur, i wsp.
Wydane: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
od: Farabi, Farhan, i wsp.
Wydane: (2023)

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

Masked face identification using face recognition
od: Hossen, Tareq, i wsp.
Wydane: (2024)

An efficient face recognition model using multiple angular images and deep neural network architecture
od: Subah, Silma, i wsp.
Wydane: (2024)

Detection of coronary artery blockage at an early stage using effective deep learning technique
od: Promit, Tahmid Ashrafee, i wsp.
Wydane: (2023)

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

Speech command classification based on deep neural networks
od: Hossain, Md. Sakib, i wsp.
Wydane: (2023)

Machine fault diagnosis using a modified transferable CNN
od: Shammi, Sanjana Khan
Wydane: (2024)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
od: Ismail, Sayem Mohammad, i wsp.
Wydane: (2021)

An interpretable deep learning approach to detect Alzheimer using MRI images
od: Oni, Farhan Anzum, i wsp.
Wydane: (2023)

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

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i wsp.
Wydane: (2021)