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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Jayeb, Ahmad Wasiq, Hore, Alvin Rahul, Anjum, Ramisa, Sadeque, Sohana Sanjana, Auqib, Syed Tahsin
مؤلفون آخرون:	Khondaker, Arnisha
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	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
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/21845

مواد مشابهة

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Antimicrobial peptides in skin diseases
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Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
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Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
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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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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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