DenseNet based skin lesion classification and melanoma detection

DenseNet based skin lesion classification and melanoma detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

ग्रंथसूची विवरण
मुख्य लेखकों:	Munaf, Arifuzzaman, Hoque, Ariful, Jawwad, Kazi Asif
अन्य लेखक:	Alam, Md. Golam Rabiul
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2021
विषय:	Cancer Distinguished Melanoma Ultraviolet Lesion Densenet
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/15193

समान संसाधन

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A review on combinatorial therapies in Melanoma
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Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
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Integration of handcrafted and deep neural features for Melanoma classification
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A deep face-mask detection model using DenseNet169 and image processing techniques
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Skin cancer classification for seven types of skin lesions
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Clinical Examination and Differential Diagnosis of Skin Lesions
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Melanoma Management

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Handbook of Cutaneous Melanoma
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Dirac Spectra in Dense QCD
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Pigment Cell & Melanoma Research

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Communications Networking in Dense Electromagnetic Environments

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
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MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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Early detection of cervical cancer using deep neural networks
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Thoracic complication detection on chest X-rays using deep learning
द्वारा: Ratul, Rizwanul Hoque, और अन्य
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Semantic segmentation with attention dense U-net for lung extraction from X-ray images
द्वारा: Auvy, Akib Al Mahmud, और अन्य
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Melanoma Management | Future Medicine Ltd

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Gender classification in Bangla language using deep learning-based voice analysis
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Skin Pharmacology and Applied Skin Physiology

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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
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