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.

Xehetasun bibliografikoak
Egile Nagusiak:	Nawaz, Fariha, Akib, Md. Samiul, Imtiaz, Asif, Ahmad, Sakib Uddin
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Convolutional Neural Network Bone-age ResNet50 MobileNet VGG16 Neural networks (Computer science).
Sarrera elektronikoa:	http://hdl.handle.net/10361/12256

Antzeko izenburuak

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

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

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

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

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

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

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
nork: Moon, Nowrin Tasnim, et al.
Argitaratua: (2023)

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

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

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

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

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
nork: Rahman, Rafeed, et al.
Argitaratua: (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
Argitaratua: (2022)

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