Bone age comparison using convolutional neural network

Bone age comparison 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, 2019.

Détails bibliographiques
Auteurs principaux:	Nawaz, Fariha, Akib, Md. Samiul, Imtiaz, Asif, Ahmad, Sakib Uddin
Autres auteurs:	Chakrabarty, Amitabha
Format:	Thèse
Langue:	English
Publié:	BRAC University 2019
Sujets:	Convolutional Neural Network Bone-age ResNet50 MobileNet VGG16 Neural networks (Computer science).
Accès en ligne:	http://hdl.handle.net/10361/12256

Documents similaires

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
par: Choudhury, Prionto Kumar, et autres
Publié: (2024)

Detecting brain tumor using deep neural networks from MRI images
par: Imamuzzaman, A.S.M., et autres
Publié: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
par: Rahman, Afridi Ibn, et autres
Publié: (2022)

Covid-19 infected lung detection using machine learning
par: Islam, Md. Muntaha, et autres
Publié: (2022)

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

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

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
par: Moon, Nowrin Tasnim, et autres
Publié: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
par: Khisa, Pushpakali, et autres
Publié: (2024)

Tomato leaf disease detection using convolutional neural network
par: Hasan, Md. Riazul, et autres
Publié: (2023)

Citrus leaf disease detection by image processing
par: Chowdhury, Mahir Faisal, et autres
Publié: (2024)

Plant disease detection using convolutional neural network
par: Hossain, Mohammad Shifat, et autres
Publié: (2021)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
par: Rahman, Rafeed, et autres
Publié: (2021)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
par: Awwal, Alvina, et autres
Publié: (2021)

An Analysis on Bengali handwritten conjunct character recognition and prediction
par: Munawar, Maazin, et autres
Publié: (2021)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
par: Tasnim, Sadia, et autres
Publié: (2023)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
par: Khan, Farhan Sakib, et autres
Publié: (2022)

Speech command classification based on deep neural networks
par: Hossain, Md. Sakib, et autres
Publié: (2023)

Analyzing students’ concentration in online courses through Webcam
par: Asif, Md., et autres
Publié: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
par: Haque, Abid Hossain, et autres
Publié: (2024)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
par: Haque, Samiha, et autres
Publié: (2021)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
par: Reza, Jamil Ur, et autres
Publié: (2023)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
par: Shahriar, Farhan, et autres
Publié: (2021)

An efficient face recognition model using multiple angular images and deep neural network architecture
par: Subah, Silma, et autres
Publié: (2024)

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

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
par: Shahriar, Hasan, et autres
Publié: (2022)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
par: Sarwar, Arafat, et autres
Publié: (2023)

Identifying brain abnormalities using image processing and CNN models
par: Talukder, Ismat Shehrin, et autres
Publié: (2021)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
par: Sarmi, Kaniz Fatima, et autres
Publié: (2022)

An Efficient deep learning approach to detect Brain Tumor using MRI images
par: Islam, Annur Tasnim, et autres
Publié: (2022)

Approaching transfer learning to identify correctly worn facial masks
par: Sadid, Tausif, et autres
Publié: (2021)

Early detection of cervical cancer using deep neural networks
par: Akhund, Atoshi, et autres
Publié: (2023)

Early prediction of Alzheimer's disease using convolutional neural network
par: Abed, Mahjabeen Tamanna, et autres
Publié: (2020)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
par: Ismail, Sayem Mohammad, et autres
Publié: (2021)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
par: Mashraf, Chowdhury Zerif, et autres
Publié: (2021)

Skin cancer classification for seven types of skin lesions
par: Rahman, Md. Tawsifur, et autres
Publié: (2024)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
par: Nag, Pollock, et autres
Publié: (2023)

An efficient approach to detect melanoma skin cancer using a custom CNN model
par: Rahman, K.M Saidur, et autres
Publié: (2023)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
par: Tahamid, Abu
Publié: (2021)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
par: Ishrak, Gazi Hasin, et autres
Publié: (2022)

Violent activity detection through surveillance camera using deep learning
par: Miah, Parvez, et autres
Publié: (2023)