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.

ग्रंथसूची विवरण
मुख्य लेखकों:	Mugdho, Aka Mohammad, Bhuiyan, Md. Jawad Hossain, Rafin, Tawsif Mustasin, Amit, Adib Muhammad
अन्य लेखक:	Chakrabarty, Amitabha
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2023
विषय:	Hog feature extraction Lung cancer Deep learning ResNet18 DeneNet161 MobileNetV2 ShuffleNet InceptionV3 VGG19 Cognitive learning theory Machine learning
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/18698

समान संसाधन

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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
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Analyzing students’ concentration in online courses through Webcam
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An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
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Covid-19 infected lung detection using machine learning
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FoodieCal: a convolutional neural network based food detection and calorie estimation system
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
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A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
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Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
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Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
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Automatic waste classification using deep learning and computer vision techniques
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Violent activity detection through surveillance camera using deep learning
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Approaching transfer learning to identify correctly worn facial masks
द्वारा: Sadid, Tausif, और अन्य
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Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
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Identifying brain abnormalities using image processing and CNN models
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Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
द्वारा: Hossain, Mohammad Sakib, और अन्य
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Detection of coronary artery blockage at an early stage using effective deep learning technique
द्वारा: Promit, Tahmid Ashrafee, और अन्य
प्रकाशित: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
द्वारा: Farabi, Farhan, और अन्य
प्रकाशित: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
द्वारा: Sarmi, Kaniz Fatima, और अन्य
प्रकाशित: (2022)

Tomato leaf disease detection using convolutional neural network
द्वारा: Hasan, Md. Riazul, और अन्य
प्रकाशित: (2023)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
द्वारा: Reza, Jamil Ur, और अन्य
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Machine fault diagnosis using a modified transferable CNN
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CancerCare: A reliable and secured self-supervising and interactive system using deep learning
द्वारा: Khisa, Pushpakali, और अन्य
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Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
द्वारा: Niaz, H.M, और अन्य
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Masked face identification using face recognition
द्वारा: Hossen, Tareq, और अन्य
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An efficient face recognition model using multiple angular images and deep neural network architecture
द्वारा: Subah, Silma, और अन्य
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Skin cancer classification for seven types of skin lesions
द्वारा: Rahman, Md. Tawsifur, और अन्य
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Diabetic retinopathy detection and classification by using deep learning
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MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
द्वारा: Shahriar, Hasan, और अन्य
प्रकाशित: (2022)

Plant disease detection using convolutional neural network
द्वारा: Hossain, Mohammad Shifat, और अन्य
प्रकाशित: (2021)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
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An efficient approach for recyclable waste detection and classification using image processing techniques
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A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
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प्रकाशित: (2023)