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.

Xehetasun bibliografikoak
Egile Nagusiak:	Kamran, Sharif Amit, Bin Khaled, Md. Asif, Bin Kabir, Sabit
Beste egile batzuk:	Mostakim, Moin
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2017
Gaiak:	Neural network Image segmentation
Sarrera elektronikoa:	http://hdl.handle.net/10361/8112

Antzeko izenburuak

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Deep 3D convolutional neural network in early detection of Lung cancer
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Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique
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Detecting Deepfake images using deep convolutional neural network
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Unsupervised semantic segmentation for localization of wetland area fluctuations
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Segmentation based Kidney Tumor Classification using Deep Neural Network
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Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
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A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
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Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
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Bangali Handwritten characters classification using Deep Convolutional Neural Network
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Bengali hand sign language recognition using convolutional neural networks
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Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
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Argitaratua: (2024)

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

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

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
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Tuberculosis diagnosis through image processing
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Pneumonia Disease detection using the convolutional neural network
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Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
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Smoke detection using deep Convolutional neural network
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A novel modified SFTA approach for feature extraction
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Image classification using deep neural network for efficient identification of traffic sign
nork: Saha, Sourajit
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Classification of Bangladeshi soil texture using convolutional neural network
nork: Raj, Hafiz Mohiuddin, et al.
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End to end Bangla handwritten and scene text detection using convolutional neural network
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Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
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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
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
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LRFMV: an efficient customer segmentation model for superstores
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Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
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