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.

Bibliografiset tiedot
Päätekijät:	Palok, Tanvir Ahmed, Ahmed, Symum, Anim, Golam Kibria, Ratul, Shahed Sharif Bhuiyan, Alam, Shahrear
Muut tekijät:	Nahim, Nabuat Zaman
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Misdiagnosis Deep learning Ensemble learning Histogram equalization Transfer learning Data mining Neural networks (Computer science) Ensemble learning (Machine learning) > Industrial applications
Linkit:	http://hdl.handle.net/10361/23517

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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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A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
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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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