Segmentation based Kidney Tumor Classification using Deep Neural Network

Segmentation based Kidney Tumor Classification using Deep Neural Network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022

Bibliographic Details
Main Authors:	Mehedi, Md Humaion Kabir, Haque, Ehteshamul, Radin, Sameen Yasir, Ur Rahman, Md. Abrar
Other Authors:	Alam, Dr. Md. Golam Rabiul
Format:	Thesis
Language:	en_US
Published:	Brac University 2022
Subjects:	Kidney Tumor Computed Tomography (CT) VGG16 Segmentation Classification Deep Neural Network (DNN) Neural network Neural networks (Computer science)
Online Access:	http://hdl.handle.net/10361/17120

Similar Items

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

Exploring deep features: deeper fully convolutional neural network for image segmentation
by: Kamran, Sharif Amit, et al.
Published: (2017)

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

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

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

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
by: Ali, Syed Muaz
Published: (2023)

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

Brain tumor detection through image processing
by: Azmim, Tahaziba, et al.
Published: (2021)

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

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
by: Khan, Afsana, et al.
Published: (2022)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
by: Islam, MD. Arman, et al.
Published: (2023)

An efficient ML approach to detect brain tumor using MRI images
by: Muktadir, MD. Arafat, et al.
Published: (2024)

Brain tumor detection with convolutional neural network
by: Galib, Abrar Tahmid, et al.
Published: (2024)

Automatic brain tumor segmentation using U-ResUNet chain model approach
by: Alam, Mohd Tanjeem, et al.
Published: (2022)

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

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

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

Leaf classification by feature extraction using CNN
by: Bhuiyan, Md. Mazharul Islam, et al.
Published: (2020)

Semantic text extraction from CAPTCHA using Neural Networking
by: Chowdhury, Iftekhar Kabir, et al.
Published: (2022)

Bone age comparison using convolutional neural network
by: Nawaz, Fariha, et al.
Published: (2019)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
by: Datta, Nirjhor, et al.
Published: (2024)

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

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
by: Hossain, Shah Md. Shakhawath, et al.
Published: (2024)

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

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

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
by: Farzana, Maisha, et al.
Published: (2021)

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

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
by: Irfanuddin, Chowdhury Mohammad, et al.
Published: (2023)

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

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

Heartbeat sound feature extraction and classification
by: Bibrity, Fariha Chowdhury, et al.
Published: (2020)

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

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
by: Reza, S. M. Mushfiq, et al.
Published: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
by: Hasib, Mehadi Hasan, et al.
Published: (2021)

U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images
by: Mithila, Maliha Tabassum, et al.
Published: (2022)

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

Demand forecasting on supply chain using ML and NN
by: Hridi, Naoshin Anzum, et al.
Published: (2023)

An introduction to neural networks /
by: Anderson, James A.
Published: (1995)

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

Modelling option prices using neural networks
by: Nasim, Ahmed Zohair, et al.
Published: (2020)