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.

ग्रंथसूची विवरण
मुख्य लेखकों:	Palok, Tanvir Ahmed, Ahmed, Symum, Anim, Golam Kibria, Ratul, Shahed Sharif Bhuiyan, Alam, Shahrear
अन्य लेखक:	Nahim, Nabuat Zaman
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2024
विषय:	Misdiagnosis Deep learning Ensemble learning Histogram equalization Transfer learning Data mining Neural networks (Computer science) Ensemble learning (Machine learning) > Industrial applications
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/23517

समान संसाधन

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Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
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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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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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Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
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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
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