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.

Xehetasun bibliografikoak
Egile Nagusiak:	Munaf, Arifuzzaman, Hoque, Ariful, Jawwad, Kazi Asif
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Cancer Distinguished Melanoma Ultraviolet Lesion Densenet
Sarrera elektronikoa:	http://hdl.handle.net/10361/15193

Antzeko izenburuak

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A review on melanoma treatment by cold atmospheric plasma
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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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Pigment Cell & Melanoma Research

Pigment Cell & Melanoma Research

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Melanoma Management | Future Medicine Ltd

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