An efficient ML approach to detect brain tumor using MRI images

An efficient ML 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, 2023.

Библиографические подробности
Главные авторы:	Muktadir, MD. Arafat, Ullah, A.S.M Rahmat, Hossain, Emdad, Islam, MD. Jubayer, Munny, Tanjila Akter
Другие авторы:	Alam, Md. Ashraful
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Brain tumor Machine learning Deep neural network Magnetic resonance imaging Neural networks (Computer science) Deep learning (Machine learning) Magnetic resonance imaging.
Online-ссылка:	http://hdl.handle.net/10361/22904

Схожие документы

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
по: Haque, Hossain MD. Hasibul, и др.
Опубликовано: (2024)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
по: Hossain, Shah Md. Shakhawath, и др.
Опубликовано: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
по: Ahmed, Kazi sabab, и др.
Опубликовано: (2022)

Detection of multiple sclerosis using deep learning
по: Jannat, Sabila Al, и др.
Опубликовано: (2021)

Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
по: Shabnam, Farzana, и др.
Опубликовано: (2018)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
по: Mahbub, Riasat, и др.
Опубликовано: (2022)

Classification of different magnetic structures from image data using deep neural networks
по: Ibn Hasib, Fahad, и др.
Опубликовано: (2023)

The long road to Stockholm
по: Mansfield, P.

3D Brain image segmentation using 3D tiled convolution neural networks
по: Haque, Md Mahibul, и др.
Опубликовано: (2024)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Brain tumor detection through image processing
по: Azmim, Tahaziba, и др.
Опубликовано: (2021)

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

Visual object classification from fMRI data
по: Newaz, Syed Mishar, и др.
Опубликовано: (2022)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
по: Rahman, Aryan, и др.
Опубликовано: (2023)

Automatic brain tumor segmentation using U-ResUNet chain model approach
по: Alam, Mohd Tanjeem, и др.
Опубликовано: (2022)

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

Skin cancer detection and classification using multiple optimized deep convolutional neural network
по: Sakir, Adnan, и др.
Опубликовано: (2023)

An Efficient deep learning approach to detect Brain Tumor using MRI images
по: Islam, Annur Tasnim, и др.
Опубликовано: (2022)

An efficient deep learning approach to detect skin cancer using image data
по: Chowdhury, Yaser Al Rahman, и др.
Опубликовано: (2023)

Cancer classification using deep learning from medical image data
по: Monir, Raiyan Janik, и др.
Опубликовано: (2022)

Classification of retinal diseases from OCT images using deep learning models
по: Mokarrom, Md Saif, и др.
Опубликовано: (2024)

Brain tumor detection with convolutional neural network
по: Galib, Abrar Tahmid, и др.
Опубликовано: (2024)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
по: Ahmed, Yasin, и др.
Опубликовано: (2018)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
по: Islam, MD. Arman, и др.
Опубликовано: (2023)

A modern technique to detect potholes by Computer Vision and Deep Learning
по: Saif, Muntasir Mahmud, и др.
Опубликовано: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
по: Sharma, Tanmoyee, и др.
Опубликовано: (2021)

Early prediction of Alzheimer's disease using convolutional neural network
по: Abed, Mahjabeen Tamanna, и др.
Опубликовано: (2020)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
по: Sikder, Shihab Uddin, и др.
Опубликовано: (2022)

An efficient deep learning approach to classify white blood cells
по: Turja, Afif Ibna Kadir Khan, и др.
Опубликовано: (2024)

Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
по: Tuhin, Md. Akram Hossan, и др.
Опубликовано: (2019)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
по: Islam, Roman, и др.
Опубликовано: (2024)

Deep learning based early Glaucoma detection
по: Islam, Aabrar, и др.
Опубликовано: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
по: Hasib, Mehadi Hasan, и др.
Опубликовано: (2021)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
по: Datta, Nirjhor, и др.
Опубликовано: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
по: Ifty, Md. Hasin Sarwar, и др.
Опубликовано: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
по: Fiona, Driciru, и др.
Опубликовано: (2024)

RetinalNet-500: a newly developed CNN model for eye disease detection
по: Toki, Sadikul Alim, и др.
Опубликовано: (2023)

Deep learning-based real-time pothole detection for avoiding road accident
по: Basher, Rafsan, и др.
Опубликовано: (2022)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
по: Sarwar, Arafat, и др.
Опубликовано: (2023)