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.

Bibliografiset tiedot
Päätekijät:	Awwal, Alvina, Shomee, Homaira Huda, Sadat, Sayed Us, Amin, Sadia Nur
Muut tekijät:	Parvez, Mohammad Zavid
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	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
Linkit:	http://hdl.handle.net/10361/15161

Samankaltaisia teoksia

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

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

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

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
Tekijä: Shahriar, Farhan, et al.
Julkaistu: (2021)

Plant disease detection using convolutional neural network
Tekijä: Hossain, Mohammad Shifat, et al.
Julkaistu: (2021)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
Tekijä: Athina, Fahima Hasan, et al.
Julkaistu: (2022)

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

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

Automatic waste classification using deep learning and computer vision techniques
Tekijä: Akash, MD., et al.
Julkaistu: (2023)

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

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

FoodieCal: a convolutional neural network based food detection and calorie estimation system
Tekijä: Mashraf, Chowdhury Zerif, et al.
Julkaistu: (2021)

A comparative study of lung cancer prediction using deep learning
Tekijä: Mugdho, Aka Mohammad, et al.
Julkaistu: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
Tekijä: Sarmi, Kaniz Fatima, et al.
Julkaistu: (2022)

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

An Efficient deep learning approach to detect Brain Tumor using MRI images
Tekijä: Islam, Annur Tasnim, et al.
Julkaistu: (2022)

Bone age comparison using convolutional neural network
Tekijä: Nawaz, Fariha, et al.
Julkaistu: (2019)

Analyzing students’ concentration in online courses through Webcam
Tekijä: Asif, Md., et al.
Julkaistu: (2024)

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

Tomato leaf disease detection using convolutional neural network
Tekijä: Hasan, Md. Riazul, et al.
Julkaistu: (2023)

Brain tumor detection with convolutional neural network
Tekijä: Galib, Abrar Tahmid, et al.
Julkaistu: (2024)

An Analysis on Bengali handwritten conjunct character recognition and prediction
Tekijä: Munawar, Maazin, et al.
Julkaistu: (2021)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
Tekijä: Tasnim, Sadia, et al.
Julkaistu: (2023)

Approaching transfer learning to identify correctly worn facial masks
Tekijä: Sadid, Tausif, et al.
Julkaistu: (2021)

Violent activity detection through surveillance camera using deep learning
Tekijä: Miah, Parvez, et al.
Julkaistu: (2023)

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

Skin cancer classification for seven types of skin lesions
Tekijä: Rahman, Md. Tawsifur, et al.
Julkaistu: (2024)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
Tekijä: Reza, Jamil Ur, et al.
Julkaistu: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
Tekijä: Farabi, Farhan, et al.
Julkaistu: (2023)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
Tekijä: Haque, Samiha, et al.
Julkaistu: (2021)

Masked face identification using face recognition
Tekijä: Hossen, Tareq, et al.
Julkaistu: (2024)

An efficient face recognition model using multiple angular images and deep neural network architecture
Tekijä: Subah, Silma, et al.
Julkaistu: (2024)

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

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
Tekijä: Choudhury, Prionto Kumar, et al.
Julkaistu: (2024)

Speech command classification based on deep neural networks
Tekijä: Hossain, Md. Sakib, et al.
Julkaistu: (2023)

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

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

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

Detecting brain tumor using deep neural networks from MRI images
Tekijä: Imamuzzaman, A.S.M., et al.
Julkaistu: (2021)

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