Exploring deep features: deeper fully convolutional neural network for image segmentation

Exploring deep features: deeper fully convolutional neural network for image segmentation

Cataloged from PDF version of thesis report.

Bibliografiske detaljer
Main Authors:	Kamran, Sharif Amit, Bin Khaled, Md. Asif, Bin Kabir, Sabit
Andre forfattere:	Mostakim, Moin
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2017
Fag:	Neural network Image segmentation
Online adgang:	http://hdl.handle.net/10361/8112

Lignende værker

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
af: Hassan, Mehadi, et al.
Udgivet: (2021)

3D Brain image segmentation using 3D tiled convolution neural networks
af: Haque, Md Mahibul, et al.
Udgivet: (2024)

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

Integration of handcrafted and deep neural features for Melanoma classification
af: Rahman, Mohammad Saminoor, et al.
Udgivet: (2022)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
af: Sharma, Tanmoyee, et al.
Udgivet: (2021)

Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
af: Faruk, Farhan, et al.
Udgivet: (2024)

Deep 3D convolutional neural network in early detection of Lung cancer
af: Hossain, Khandoker Jobayer, et al.
Udgivet: (2019)

Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique
af: Shakir, Mohsinul Bari, et al.
Udgivet: (2018)

Detecting Deepfake images using deep convolutional neural network
af: Dhar, Arpita, et al.
Udgivet: (2022)

Unsupervised semantic segmentation for localization of wetland area fluctuations
af: Tahsin, Anika, et al.
Udgivet: (2024)

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

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

Customer segmentation using K-means
af: Mahdee, Nafis, et al.
Udgivet: (2022)

A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
af: Bin Mushfiq, Rahil, et al.
Udgivet: (2024)

Retinal Diseases Detection using Deep Learning
af: Mashfi, Shahriar, et al.
Udgivet: (2023)

Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
af: Farha, Ramisa, et al.
Udgivet: (2022)

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction
af: Khan, Rubayat Ahmed
Udgivet: (2022)

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
af: Siam, F. M. Jamius, et al.
Udgivet: (2021)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
af: Sikder, Shihab Uddin, et al.
Udgivet: (2022)

Bengali hand sign language recognition using convolutional neural networks
af: Rumi, Roisul Islam, et al.
Udgivet: (2019)

Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
af: Mollah, Md. Shawon, et al.
Udgivet: (2024)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
af: Auvy, Akib Al Mahmud, et al.
Udgivet: (2023)

Fake currency detection using image processing method
af: Alimushwan, Munshi Md., et al.
Udgivet: (2017)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
af: Mizan, Mubasshira, et al.
Udgivet: (2024)

Tuberculosis diagnosis through image processing
af: Kamal, Nahid, et al.
Udgivet: (2017)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
af: Sakir, Adnan, et al.
Udgivet: (2023)

Pneumonia Disease detection using the convolutional neural network
af: Ashrafee, Md. Iftid, et al.
Udgivet: (2024)

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

Smoke detection using deep Convolutional neural network
af: Niloy, Wahidul Hasan, et al.
Udgivet: (2021)

A novel modified SFTA approach for feature extraction
af: Hasan, Md Junayed, et al.
Udgivet: (2018)

Image classification using deep neural network for efficient identification of traffic sign
af: Saha, Sourajit
Udgivet: (2018)

Classification of Bangladeshi soil texture using convolutional neural network
af: Raj, Hafiz Mohiuddin, et al.
Udgivet: (2023)

End to end Bangla handwritten and scene text detection using convolutional neural network
af: Mahal, Somania Nur, et al.
Udgivet: (2018)

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
af: Uddin, Mohammad Sakib, et al.
Udgivet: (2024)

The credit approval procedure : a brief analysis of the credit risk assessment system of Standard Chartered Bank and the level of satisfaction of the clients of local corporate segment
af: Audity, Athina Shaolin
Udgivet: (2013)

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

LRFMV: an efficient customer segmentation model for superstores
af: Toyeb, Md., et al.
Udgivet: (2021)

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)