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.

Bibliografiset tiedot
Päätekijät:	Muktadir, MD. Arafat, Ullah, A.S.M Rahmat, Hossain, Emdad, Islam, MD. Jubayer, Munny, Tanjila Akter
Muut tekijät:	Alam, Md. Ashraful
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Brain tumor Machine learning Deep neural network Magnetic resonance imaging Neural networks (Computer science) Deep learning (Machine learning) Magnetic resonance imaging.
Linkit:	http://hdl.handle.net/10361/22904

Samankaltaisia teoksia

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

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

Intracranial hemorrhage detection using CNN-LSTM fusion model
Tekijä: Ahmed, Kazi sabab, et al.
Julkaistu: (2022)

Detection of multiple sclerosis using deep learning
Tekijä: Jannat, Sabila Al, et al.
Julkaistu: (2021)

Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
Tekijä: Shabnam, Farzana, et al.
Julkaistu: (2018)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
Tekijä: Mahbub, Riasat, et al.
Julkaistu: (2022)

Classification of different magnetic structures from image data using deep neural networks
Tekijä: Ibn Hasib, Fahad, et al.
Julkaistu: (2023)

The long road to Stockholm
Tekijä: Mansfield, P.

3D Brain image segmentation using 3D tiled convolution neural networks
Tekijä: Haque, Md Mahibul, et al.
Julkaistu: (2024)

An efficient deep learning approach to detect skin Cancer
Tekijä: Islam, Ashfaqul, et al.
Julkaistu: (2022)

Brain tumor detection through image processing
Tekijä: Azmim, Tahaziba, et al.
Julkaistu: (2021)

Prostate cancer detection using deep learning neural network with transfer learning approach
Tekijä: Badhon, Ariful Islam Mahmud, et al.
Julkaistu: (2022)

Visual object classification from fMRI data
Tekijä: Newaz, Syed Mishar, et al.
Julkaistu: (2022)

Corn leaf disease detection using deep convolution neural network
Tekijä: Rabbi, Rawhatur, et al.
Julkaistu: (2023)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
Tekijä: Rahman, Aryan, et al.
Julkaistu: (2023)

Automatic brain tumor segmentation using U-ResUNet chain model approach
Tekijä: Alam, Mohd Tanjeem, et al.
Julkaistu: (2022)

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

Skin cancer detection and classification using multiple optimized deep convolutional neural network
Tekijä: Sakir, Adnan, et al.
Julkaistu: (2023)

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

An efficient deep learning approach to detect skin cancer using image data
Tekijä: Chowdhury, Yaser Al Rahman, et al.
Julkaistu: (2023)

Cancer classification using deep learning from medical image data
Tekijä: Monir, Raiyan Janik, et al.
Julkaistu: (2022)

Classification of retinal diseases from OCT images using deep learning models
Tekijä: Mokarrom, Md Saif, et al.
Julkaistu: (2024)

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

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
Tekijä: Ahmed, Yasin, et al.
Julkaistu: (2018)

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

A modern technique to detect potholes by Computer Vision and Deep Learning
Tekijä: Saif, Muntasir Mahmud, et al.
Julkaistu: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
Tekijä: Sharma, Tanmoyee, et al.
Julkaistu: (2021)

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

Bangali Handwritten characters classification using Deep Convolutional Neural Network
Tekijä: Sikder, Shihab Uddin, et al.
Julkaistu: (2022)

An efficient deep learning approach to classify white blood cells
Tekijä: Turja, Afif Ibna Kadir Khan, et al.
Julkaistu: (2024)

Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
Tekijä: Tuhin, Md. Akram Hossan, et al.
Julkaistu: (2019)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
Tekijä: Islam, Roman, et al.
Julkaistu: (2024)

Deep learning based early Glaucoma detection
Tekijä: Islam, Aabrar, et al.
Julkaistu: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
Tekijä: Hasib, Mehadi Hasan, et al.
Julkaistu: (2021)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
Tekijä: Datta, Nirjhor, et al.
Julkaistu: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
Tekijä: Ifty, Md. Hasin Sarwar, et al.
Julkaistu: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
Tekijä: Fiona, Driciru, et al.
Julkaistu: (2024)

RetinalNet-500: a newly developed CNN model for eye disease detection
Tekijä: Toki, Sadikul Alim, et al.
Julkaistu: (2023)

Deep learning-based real-time pothole detection for avoiding road accident
Tekijä: Basher, Rafsan, et al.
Julkaistu: (2022)

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