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.

Xehetasun bibliografikoak
Egile Nagusiak:	Mugdho, Aka Mohammad, Bhuiyan, Md. Jawad Hossain, Rafin, Tawsif Mustasin, Amit, Adib Muhammad
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Hog feature extraction Lung cancer Deep learning ResNet18 DeneNet161 MobileNetV2 ShuffleNet InceptionV3 VGG19 Cognitive learning theory Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/18698

Antzeko izenburuak

Citrus leaf disease detection by image processing
nork: Chowdhury, Mahir Faisal, et al.
Argitaratua: (2024)

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

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

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

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

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

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

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

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

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

Skin disease detection and classification using deep learning
nork: Shuvon, Mehedi Hasan, et al.
Argitaratua: (2022)

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

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

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

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

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

Violent activity detection through surveillance camera using deep learning
nork: Miah, Parvez, et al.
Argitaratua: (2023)

Approaching transfer learning to identify correctly worn facial masks
nork: Sadid, Tausif, et al.
Argitaratua: (2021)

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

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

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

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

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

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

Tomato leaf disease detection using convolutional neural network
nork: Hasan, Md. Riazul, et al.
Argitaratua: (2023)

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

Machine fault diagnosis using a modified transferable CNN
nork: Shammi, Sanjana Khan
Argitaratua: (2024)

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

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

Masked face identification using face recognition
nork: Hossen, Tareq, et al.
Argitaratua: (2024)

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

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

Diabetic retinopathy detection and classification by using deep learning
nork: Hossain, Shahriar, et al.
Argitaratua: (2022)

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

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

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

Plant disease detection using convolutional neural network
nork: Hossain, Mohammad Shifat, et al.
Argitaratua: (2021)

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

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

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