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.

Xehetasun bibliografikoak
Egile Nagusiak:	Palok, Tanvir Ahmed, Ahmed, Symum, Anim, Golam Kibria, Ratul, Shahed Sharif Bhuiyan, Alam, Shahrear
Beste egile batzuk:	Nahim, Nabuat Zaman
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Misdiagnosis Deep learning Ensemble learning Histogram equalization Transfer learning Data mining Neural networks (Computer science) Ensemble learning (Machine learning) > Industrial applications
Sarrera elektronikoa:	http://hdl.handle.net/10361/23517

Antzeko izenburuak

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Explainable artificial intelligence and model calibration for water quality prediction
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Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
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An efficient deep learning approach to classify white blood cells
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Classification of peripheral blood cell images using deep learning
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Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
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Damaged road detection using Image Processing and Deep Learning
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An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
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Visual object classification from fMRI data
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An efficient deep learning approach to detect skin Cancer
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An implementation and analysis of deep learning models for the detection of wheat diseases
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An efficient deep learning approach to detect skin cancer using image data
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Intracranial hemorrhage detection using CNN-LSTM fusion model
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Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
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Argitaratua: (2023)

Classifying insect pests from image data using deep learning
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Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
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Argitaratua: (2021)

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

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
nork: Toufique, S.M, et al.
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Aspect based opinion mining on restaurant reviews
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ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
nork: Ahmed, Istiak, et al.
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
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A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
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Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
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Leveraging sequential deep learning models for detecting multitude of human action categories
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Document template identification and data extraction using machine learning and deep learning approach
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