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.

Bibliografiske detaljer
Main Authors:	Munaf, Arifuzzaman, Hoque, Ariful, Jawwad, Kazi Asif
Andre forfattere:	Alam, Md. Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Cancer Distinguished Melanoma Ultraviolet Lesion Densenet
Online adgang:	http://hdl.handle.net/10361/15193

Lignende værker

Skin lesion classification using different CNN models
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Udgivet: (2023)

Exploring the use of Ingenol Mebutate to prevent non-melanoma skin cancer: A review
af: Haque, Fariha
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A review on Metastatic Melanoma combination therapy Ipilimumab-Nivolumab
af: Chakraborty, Anupama
Udgivet: (2024)

A review on melanoma treatment by cold atmospheric plasma
af: Pranto, Alif Hasan
Udgivet: (2023)

A review on combinatorial therapies in Melanoma
af: Ahmmed, Md. Kawsar
Udgivet: (2024)

Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
af: Islam, Karima
Udgivet: (2022)

Integration of handcrafted and deep neural features for Melanoma classification
af: Rahman, Mohammad Saminoor, et al.
Udgivet: (2022)

An efficient approach to detect melanoma skin cancer using a custom CNN model
af: Rahman, K.M Saidur, et al.
Udgivet: (2023)

Detection of skin diseases using deep learning
af: Shodoy, Masuk Ur Rahman
Udgivet: (2024)

A deep face-mask detection model using DenseNet169 and image processing techniques
af: Bhowmik, Durjoy, et al.
Udgivet: (2022)

Skin cancer classification for seven types of skin lesions
af: Rahman, Md. Tawsifur, et al.
Udgivet: (2024)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
af: Nazmee, Namirah, et al.
Udgivet: (2024)

The Pharmacological potential of lupeol and derivatives: A corroborative analysis
af: Sowa, Rodoshi Mahfuz
Udgivet: (2023)

Elucidating the functional roles of bidirectionally transcribed genes in immunobiology of cancers
af: Ahmad, Sheikh Shafin
Udgivet: (2021)

Clinical Examination and Differential Diagnosis of Skin Lesions
af: Lipsker
Udgivet: (2013)

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af: Samii
Udgivet: (2013)

Male Genital Lesions
af: Rosenblatt
Udgivet: (2013)

The uses of bacteria in cancer therapy
af: Saha, Shimul, et al.
Udgivet: (2021)

Diabetic retinopathy detection and classification by using deep learning
af: Hossain, Shahriar, et al.
Udgivet: (2022)

Handbook of Cutaneous Melanoma
af: Schadendorf
Udgivet: (2013)

Dirac Spectra in Dense QCD
af: Kanazawa
Udgivet: (2013)

Skin disease detection and classification using deep learning
af: Shuvon, Mehedi Hasan, et al.
Udgivet: (2022)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
af: Farhan, Rafid, et al.
Udgivet: (2024)

Pigment Cell & Melanoma Research

Pigment Cell & Melanoma Research

Communications Networking in Dense Electromagnetic Environments

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
af: Hassan, Ibne, et al.
Udgivet: (2023)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
af: Haque, Abid Hossain, et al.
Udgivet: (2024)

Early detection of cervical cancer using deep neural networks
af: Akhund, Atoshi, et al.
Udgivet: (2023)

Thoracic complication detection on chest X-rays using deep learning
af: Ratul, Rizwanul Hoque, et al.
Udgivet: (2021)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
af: Auvy, Akib Al Mahmud, et al.
Udgivet: (2023)

Melanoma Management | Future Medicine Ltd

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Gender classification in Bangla language using deep learning-based voice analysis
af: Hakim, Talukder Juhaer, et al.
Udgivet: (2024)

Skin Pharmacology and Applied Skin Physiology

Skin Pharmacology and Applied Skin Physiology

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
af: Shahriar, Hasan, et al.
Udgivet: (2022)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
af: Athina, Fahima Hasan, et al.
Udgivet: (2022)