Detection of intracranial hemorrhage on CT scan images using convolutional neural network

Detection of intracranial hemorrhage on CT scan images using convolutional neural network

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

Bibliographic Details
Main Authors:	Rahman, Afridi Ibn, Bhuiyan, Subhi, Reza, Ziad Hasan, Zaheen, Jasarat, Khan, Tasin Al Nahian
Other Authors:	Parvez, Mohammad Zavid
Format:	Thesis
Language:	English
Published:	Brac University 2022
Subjects:	Deep learning Convolutional neural network CT Scan Images Intracranial hemorrhage Efficient NetB6 DenseNet121 ResNet50 InceptionResNetV2 InceptionV3 VGG16 Artificial neural networks Machine learning.
Online Access:	http://hdl.handle.net/10361/15890

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
by: Islam, Tahsin, et al.
Published: (2021)

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

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

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

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

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

Obscure face recognition using deep neural networks
by: Akash, MD Shahadat Hossain, et al.
Published: (2023)

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

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

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
by: Promita, Samanta Tabassum, et al.
Published: (2022)

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

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

Skin disease detection and classification using deep learning
by: Shuvon, Mehedi Hasan, et al.
Published: (2022)

Masked face identification using face recognition
by: Hossen, Tareq, et al.
Published: (2024)

Diabetic retinopathy detection and classification by using deep learning
by: Hossain, Shahriar, et al.
Published: (2022)

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

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

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

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

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

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
by: Kobra, Khadija-Tul, et al.
Published: (2022)

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

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
by: Chowdhury, Asif Hasan, et al.
Published: (2023)

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

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
by: Farabi, Farhan, et al.
Published: (2023)