An Efficient deep learning approach to detect Brain Tumor using MRI images

An Efficient deep learning approach to detect Brain Tumor using MRI images

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

Bibliografiske detaljer
Main Authors:	Islam, Annur Tasnim, Apu, Sakib Mashra, Sarker, Sudipta, Hasan, Inzamam M., Shuvo, Syeed Alam
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Brain Tumor MRI Deep Neural Network VGG ResNet Efficient- Net Inception Ensemble EBTDM Neural networks (Computer science) Image processing > Digital techniques
Online adgang:	http://hdl.handle.net/10361/17179

Lignende værker

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

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

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
af: Awwal, Alvina, et al.
Udgivet: (2021)

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

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

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

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

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
af: Farzana, Maisha, et al.
Udgivet: (2021)

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

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

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
af: Haque, Hossain MD. Hasibul, et al.
Udgivet: (2024)

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

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

Homomorphic encryption on deep learning in accurate prediction of brain tumour
af: Sarwar, Arafat, et al.
Udgivet: (2023)

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

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

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

Early detection of cervical cancer using deep neural networks
af: Akhund, Atoshi, et al.
Udgivet: (2023)

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

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

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

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

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

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
af: Moon, Nowrin Tasnim, et al.
Udgivet: (2023)

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

Brain image fMRI data classification and graphical representation of visual object
af: Tasneem, Nazifa Afroza, et al.
Udgivet: (2019)

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

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

An efficient approach for binary classification in brain tumor detection using convolutional neural network
af: Islam, MD. Arman, et al.
Udgivet: (2023)

An efficient ML approach to detect brain tumor using MRI images
af: Muktadir, MD. Arafat, et al.
Udgivet: (2024)

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

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

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

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

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

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

Early prediction of Alzheimer's disease using convolutional neural network
af: Abed, Mahjabeen Tamanna, et al.
Udgivet: (2020)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
af: Hossain, Shah Md. Shakhawath, et al.
Udgivet: (2024)

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

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
af: Rahman, Rafeed, et al.
Udgivet: (2021)