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.

Podrobná bibliografie
Hlavní autoři:	Mugdho, Aka Mohammad, Bhuiyan, Md. Jawad Hossain, Rafin, Tawsif Mustasin, Amit, Adib Muhammad
Další autoři:	Chakrabarty, Amitabha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Hog feature extraction Lung cancer Deep learning ResNet18 DeneNet161 MobileNetV2 ShuffleNet InceptionV3 VGG19 Cognitive learning theory Machine learning
On-line přístup:	http://hdl.handle.net/10361/18698

Podobné jednotky

Citrus leaf disease detection by image processing
Autor: Chowdhury, Mahir Faisal, a další
Vydáno: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
Autor: Athina, Fahima Hasan, a další
Vydáno: (2022)

An Analysis on Bengali handwritten conjunct character recognition and prediction
Autor: Munawar, Maazin, a další
Vydáno: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
Autor: Rahman, Afridi Ibn, a další
Vydáno: (2022)

Analyzing students’ concentration in online courses through Webcam
Autor: Asif, Md., a další
Vydáno: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
Autor: Khan, Farhan Sakib, a další
Vydáno: (2022)

Covid-19 infected lung detection using machine learning
Autor: Islam, Md. Muntaha, a další
Vydáno: (2022)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
Autor: Mashraf, Chowdhury Zerif, a další
Vydáno: (2021)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
Autor: Awwal, Alvina, a další
Vydáno: (2021)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
Autor: Ismail, Sayem Mohammad, a další
Vydáno: (2021)

Skin disease detection and classification using deep learning
Autor: Shuvon, Mehedi Hasan, a další
Vydáno: (2022)

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

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
Autor: Shahriar, Farhan, a další
Vydáno: (2021)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
Autor: Tasnim, Sadia, a další
Vydáno: (2023)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
Autor: Kobra, Khadija-Tul, a další
Vydáno: (2022)

Automatic waste classification using deep learning and computer vision techniques
Autor: Akash, MD., a další
Vydáno: (2023)

Violent activity detection through surveillance camera using deep learning
Autor: Miah, Parvez, a další
Vydáno: (2023)

Approaching transfer learning to identify correctly worn facial masks
Autor: Sadid, Tausif, a další
Vydáno: (2021)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
Autor: Promita, Samanta Tabassum, a další
Vydáno: (2022)

Identifying brain abnormalities using image processing and CNN models
Autor: Talukder, Ismat Shehrin, a další
Vydáno: (2021)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
Autor: Hossain, Mohammad Sakib, a další
Vydáno: (2023)

Detection of coronary artery blockage at an early stage using effective deep learning technique
Autor: Promit, Tahmid Ashrafee, a další
Vydáno: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
Autor: Farabi, Farhan, a další
Vydáno: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
Autor: Sarmi, Kaniz Fatima, a další
Vydáno: (2022)

Tomato leaf disease detection using convolutional neural network
Autor: Hasan, Md. Riazul, a další
Vydáno: (2023)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
Autor: Reza, Jamil Ur, a další
Vydáno: (2023)

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

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
Autor: Khisa, Pushpakali, a další
Vydáno: (2024)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
Autor: Niaz, H.M, a další
Vydáno: (2024)

Masked face identification using face recognition
Autor: Hossen, Tareq, a další
Vydáno: (2024)

An efficient face recognition model using multiple angular images and deep neural network architecture
Autor: Subah, Silma, a další
Vydáno: (2024)

Skin cancer classification for seven types of skin lesions
Autor: Rahman, Md. Tawsifur, a další
Vydáno: (2024)

Diabetic retinopathy detection and classification by using deep learning
Autor: Hossain, Shahriar, a další
Vydáno: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
Autor: Haque, Abid Hossain, a další
Vydáno: (2024)

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
Autor: Chowdhury, Asif Hasan, a další
Vydáno: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
Autor: Shahriar, Hasan, a další
Vydáno: (2022)

Plant disease detection using convolutional neural network
Autor: Hossain, Mohammad Shifat, a další
Vydáno: (2021)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
Autor: Mim, Ankhi Akter, a další
Vydáno: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
Autor: Chowdhury, Prabal Kumar, a další
Vydáno: (2024)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
Autor: Chowdhury, Asif Hasan, a další
Vydáno: (2023)