Detection of skin diseases using deep learning

Detection of skin diseases using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shodoy, Masuk Ur Rahman
مؤلفون آخرون:	Chakrabarty, Amitabha
التنسيق:	أطروحة
اللغة:	English
منشور في:	2024
الموضوعات:	CNNs Xception Psoriasis Melanoma Inception V3 Skin disease Skin > Diseases Data mining
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/23601

مواد مشابهة

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Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
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Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
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Early detection of diabetic retinopathy using deep learning techniques
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An efficient deep learning approach to predict heart failure from image data using ejection fraction
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DenseNet based skin lesion classification and melanoma detection
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Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
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An implementation and analysis of deep learning models for the detection of wheat diseases
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Integration of handcrafted and deep neural features for Melanoma classification
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