Detecting brain tumor using deep neural networks from MRI images

Detecting brain tumor using deep neural networks from MRI images

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

Detalhes bibliográficos
Principais autores:	Imamuzzaman, A.S.M., Sakline, Redwan Islam, Junaed, Sayed Rafi, Hossain, Mohammad Iqbal, Das, Dipto
Outros Autores:	Alam, Md. Ashraful
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2021
Assuntos:	CNN VGG16 ResNet50 Brain Tumor
Acesso em linha:	http://hdl.handle.net/10361/15203

Registros relacionados

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

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

A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
por: Bhuiya, Nabila
Publicado em: (2023)

Pattern of brain tumor among admitted patients in a specialized center of Dhaka city: a cross sectional study
por: Tuly, Tangia Islam
Publicado em: (2018)

Brain tumor segmentation from MRI images using convolutional neural networks
por: Khan, Mushfiqur Rahman
Publicado em: (2024)

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

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

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

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

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

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

Bone age comparison using convolutional neural network
por: Nawaz, Fariha, et al.
Publicado em: (2019)

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

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

Segmentation based Kidney Tumor Classification using Deep Neural Network
por: Mehedi, Md Humaion Kabir, et al.
Publicado em: (2022)

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

Comparison of different CNN architectures for brain tumor detection using fMRI
por: Mashiat, Afsara, et al.
Publicado em: (2021)

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

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

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

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

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

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

Brain-Gain in Bangladesh: What makes it possible?
por: Rahman, Shahidur
Publicado em: (2016)

Speech command classification based on deep neural networks
por: Hossain, Md. Sakib, et al.
Publicado em: (2023)

Nanomaterials for diagnosis and treatment of brain cancer
por: Tonny, Tamanna Shahrin
Publicado em: (2024)

Pediatric traumatic brain injury /
por: Snow, Jeffrey H.
Publicado em: (1994)

Citrus leaf disease detection by image processing
por: Chowdhury, Mahir Faisal, et al.
Publicado em: (2024)

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

Skin lesion classification using different CNN models
por: Oli, Md. Yahea Sultan
Publicado em: (2023)

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

Analyzing students’ concentration in online courses through Webcam
por: Asif, Md., et al.
Publicado em: (2024)

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

Brain drain and brain gain

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

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

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
por: Nag, Pollock, et al.
Publicado em: (2023)

Nanotechnology advancement in the field of curing cancer
por: Nayon, MD.Khalid Mahmud
Publicado em: (2024)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
por: Datta, Pranab, et al.
Publicado em: (2021)

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