Medical image reader powered by artificial intelligence

Medical image reader powered by artificial intelligence

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiske detaljer
Main Authors:	Palok, Tanvir Ahmed, Ahmed, Symum, Anim, Golam Kibria, Ratul, Shahed Sharif Bhuiyan, Alam, Shahrear
Andre forfattere:	Nahim, Nabuat Zaman
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Misdiagnosis Deep learning Ensemble learning Histogram equalization Transfer learning Data mining Neural networks (Computer science) Ensemble learning (Machine learning) > Industrial applications
Online adgang:	http://hdl.handle.net/10361/23517

Lignende værker

A deep learning approach for prediction of ADHD using brain structure
af: Siam, Shafin Ahad, et al.
Udgivet: (2024)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
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Udgivet: (2019)

X-Ray classification to detect COVID-19 using ensemble model
af: Solaiman, Ishmam Ahmed, et al.
Udgivet: (2021)

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

Exploring machine learning techniques for symptom-based detection of livestock diseases
af: Niloy, Mahir Ahmed, et al.
Udgivet: (2024)

Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023)

Explainable artificial intelligence and model calibration for water quality prediction
af: Hellen, Nakayiza
Udgivet: (2022)

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
af: Ahmed, Sarder Tanvir, et al.
Udgivet: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
af: Sakir, Adnan, et al.
Udgivet: (2023)

An efficient deep learning approach to classify white blood cells
af: Turja, Afif Ibna Kadir Khan, et al.
Udgivet: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
af: Badhon, Ariful Islam Mahmud, et al.
Udgivet: (2022)

Classification of peripheral blood cell images using deep learning
af: Aadi, Oyshik Ahmed, et al.
Udgivet: (2024)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
af: Khan, Labib Hasan, et al.
Udgivet: (2023)

Damaged road detection using Image Processing and Deep Learning
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Udgivet: (2022)

Visual object classification from fMRI data
af: Newaz, Syed Mishar, et al.
Udgivet: (2022)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
af: Sagor, Mostofa Kamal, et al.
Udgivet: (2021)

An implementation and analysis of deep learning models for the detection of wheat diseases
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Udgivet: (2024)

Detection of handwritten text using convolutional neural network
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Udgivet: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
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Udgivet: (2023)

An efficient deep learning approach to detect skin cancer using image data
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Udgivet: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
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Udgivet: (2022)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
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Udgivet: (2023)

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

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

Classifying insect pests from image data using deep learning
af: Mohsin, Md. Raiyan Bin, et al.
Udgivet: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
af: Ifty, Md. Hasin Sarwar, et al.
Udgivet: (2024)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

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

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
af: Bhuiyan, Abir Ahammed, et al.
Udgivet: (2024)

Aspect based opinion mining on restaurant reviews
af: Tonmoy, Sazid Hasan, et al.
Udgivet: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
af: Turjo, Aquib Abtahi, et al.
Udgivet: (2021)

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

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
af: Ahmed, Istiak, et al.
Udgivet: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
af: Hasan, M. M. Kamrul, et al.
Udgivet: (2022)

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
af: Morshed, Atique, et al.
Udgivet: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
af: Islam, Roman, et al.
Udgivet: (2024)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
af: Sakib, Hasibul, et al.
Udgivet: (2024)