Computer vision based skin disease detection using machine learning

Computer vision based skin disease detection using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Jayeb, Ahmad Wasiq, Hore, Alvin Rahul, Anjum, Ramisa, Sadeque, Sohana Sanjana, Auqib, Syed Tahsin
Rannpháirtithe:	Khondaker, Arnisha
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2023
Ábhair:	Image processing Deep learning Machine learning Attention Unet R2Unet ResUnet Dense layer Keras layer Keras TensorFlow Validation Accuracy U-net CNN KNN Skin cancer SoftMax Skin disease Pattern recognition Optical data processing
Rochtain ar líne:	http://hdl.handle.net/10361/21845

Míreanna comhchosúla

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Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
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HPTLC, high performance thin-layer chromatography : Quantitative analysis of pharmaceutical formulations /
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A review on combinatorial therapies in Melanoma
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ত্বকের যত্ন ত্বকের অসুখ /
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Effect of Fluctuating surface heat and mass flux on natural convection flow along a vertical flat plate
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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
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Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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Biologics and Biosimilars as Treatment Options for Psoriasis
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Method development of oil solubility test of Aceclofenac
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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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Herbal drugs used in to cure different types of skin disorders
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Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
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