Deep 3D convolutional neural network in early detection of Lung cancer

Deep 3D convolutional neural network in early detection of Lung cancer

Cataloged from PDF version of thesis.

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Khandoker Jobayer, Rana, Md. Jewel, Ajghar, Abdullah Ali, Alam, Nur-a-taj
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Neural Network CT scan Lung segmentation Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/11293

Antzeko izenburuak

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Molecules associated with the development of lung cancer
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Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
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A review on targeted therapies for lung cancer
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X-Ray (2D) and CT-scanned (3D) image matching for person identification
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Bangla license plate recognition using convolutional neural networks (CNN)
nork: Rahman, M M Shaifur
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Potential of liposomes for the treatment of lung cancer- a review
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Brain tumor segmentation from MRI images using convolutional neural networks
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Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
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A review on recent advances in drugs for lung cancer treatment
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An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
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Plant disease detection using convolutional neural network
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Semantic segmentation with attention dense U-net for lung extraction from X-ray images
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Integration of handcrafted and deep neural features for Melanoma classification
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Isolated bangla handwritten character & digit recognition using convolutional neural network
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Corn leaf disease detection using deep convolution neural network
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Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
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