Identifying brain abnormalities using image processing and CNN models

Identifying brain abnormalities using image processing and CNN models

Cataloged from PDF version of thesis.

Bibliografske podrobnosti
Main Authors:	Talukder, Ismat Shehrin, Ninty, Rifa Tasmim, Saimon, Md. Galib Hamza, Akbar, Shafkat Asif
Drugi avtorji:	Islam, Md. Saiful
Format:	Thesis
Jezik:	en_US
Izdano:	Brac University 2021
Teme:	Brain abnormality Supervised learning CNN ML Revolutionary system Neurology ResNet50 VGG16 Inception V3 Augmentation
Online dostop:	http://hdl.handle.net/10361/15104

Podobne knjige/članki

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
od: Reza, S. M. Mushfiq, et al.
Izdano: (2024)

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

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

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

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

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

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

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

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

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

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

Skin lesion classification using different CNN models
od: Oli, Md. Yahea Sultan
Izdano: (2023)

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

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

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

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

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

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
od: Hossain, Mohammad Sakib, et al.
Izdano: (2023)

Pharmacological treatment for epileptic seizures
od: Zohora, Umme Fathima Tuz
Izdano: (2024)

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

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

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

Dynamic image analysis for abnormal behavior detection
od: Ahmed, Md. Ashik, et al.
Izdano: (2017)

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

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

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

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

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

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

The divine banquet of the brain and other essays /
od: Critchley, Macdonald
Izdano: (1979)

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

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

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

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

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

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

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

Neuro-Oncology

Neuro-Oncology Practice