A comparative study of lung cancer prediction using deep learning

A comparative study of lung cancer prediction using deep learning

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

Bibliografische gegevens
Hoofdauteurs:	Mugdho, Aka Mohammad, Bhuiyan, Md. Jawad Hossain, Rafin, Tawsif Mustasin, Amit, Adib Muhammad
Andere auteurs:	Chakrabarty, Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	Hog feature extraction Lung cancer Deep learning ResNet18 DeneNet161 MobileNetV2 ShuffleNet InceptionV3 VGG19 Cognitive learning theory Machine learning
Online toegang:	http://hdl.handle.net/10361/18698

Gelijkaardige items

Citrus leaf disease detection by image processing
door: Chowdhury, Mahir Faisal, et al.
Gepubliceerd in: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
door: Athina, Fahima Hasan, et al.
Gepubliceerd in: (2022)

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

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

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

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

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

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

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

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

Skin disease detection and classification using deep learning
door: Shuvon, Mehedi Hasan, et al.
Gepubliceerd in: (2022)

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

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

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

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
door: Kobra, Khadija-Tul, et al.
Gepubliceerd in: (2022)

Automatic waste classification using deep learning and computer vision techniques
door: Akash, MD., et al.
Gepubliceerd in: (2023)

Violent activity detection through surveillance camera using deep learning
door: Miah, Parvez, et al.
Gepubliceerd in: (2023)

Approaching transfer learning to identify correctly worn facial masks
door: Sadid, Tausif, et al.
Gepubliceerd in: (2021)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
door: Promita, Samanta Tabassum, et al.
Gepubliceerd in: (2022)

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

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

Detection of coronary artery blockage at an early stage using effective deep learning technique
door: Promit, Tahmid Ashrafee, et al.
Gepubliceerd in: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
door: Farabi, Farhan, et al.
Gepubliceerd in: (2023)

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

Tomato leaf disease detection using convolutional neural network
door: Hasan, Md. Riazul, et al.
Gepubliceerd in: (2023)

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

Machine fault diagnosis using a modified transferable CNN
door: Shammi, Sanjana Khan
Gepubliceerd in: (2024)

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

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
door: Niaz, H.M, et al.
Gepubliceerd in: (2024)

Masked face identification using face recognition
door: Hossen, Tareq, et al.
Gepubliceerd in: (2024)

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

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

Diabetic retinopathy detection and classification by using deep learning
door: Hossain, Shahriar, et al.
Gepubliceerd in: (2022)

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

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
door: Chowdhury, Asif Hasan, et al.
Gepubliceerd in: (2023)

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

Plant disease detection using convolutional neural network
door: Hossain, Mohammad Shifat, et al.
Gepubliceerd in: (2021)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
door: Mim, Ankhi Akter, et al.
Gepubliceerd in: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
door: Chowdhury, Prabal Kumar, et al.
Gepubliceerd in: (2024)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
door: Chowdhury, Asif Hasan, et al.
Gepubliceerd in: (2023)