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.

Bibliografiske detaljer
Main Authors:	Jayeb, Ahmad Wasiq, Hore, Alvin Rahul, Anjum, Ramisa, Sadeque, Sohana Sanjana, Auqib, Syed Tahsin
Andre forfattere:	Khondaker, Arnisha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	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
Online adgang:	http://hdl.handle.net/10361/21845

Lignende værker

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

Automatic brain tumor segmentation using U-ResUNet chain model approach
af: Alam, Mohd Tanjeem, et al.
Udgivet: (2022)

Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices
af: Rahman, Md. Nafis Nakib, et al.
Udgivet: (2021)

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

Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
af: Khan, Abde Musavvir, et al.
Udgivet: (2021)

Antimicrobial peptides in skin diseases
af: Pinkey, Monika Tabassum
Udgivet: (2022)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
af: Nahar, Jannatun, et al.
Udgivet: (2022)

An enhanced CNN model for classifying skin cancer
af: Haider, Kazi MD Minhajul, et al.
Udgivet: (2022)

To control site-specific skin gene expression, autocrine mimics paracrine canonical Wnt signaling and Is activated ectopically in skin disease
af: Kim, Dongwon, et al.
Udgivet: (2016)

Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
af: Mollah, Md. Shawon, et al.
Udgivet: (2024)

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
af: Shafique, Nadia, et al.
Udgivet: (2023)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
af: Tasnia, Rifah, et al.
Udgivet: (2024)

Manual of skin surgery : a practical guide to dermatologic procedures /
af: Leffell, David J.
Udgivet: (1997)

Boundary layer theory.
af: Schlichting, Hermann, 1907-
Udgivet: (2001)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
af: Nawrin, Ishrat Nur, et al.
Udgivet: (2023)

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

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

An in depth analysis of neural network with application in finance
af: Tasnim, Noshin, et al.
Udgivet: (2019)

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
af: Hasan, Moenul, et al.
Udgivet: (2021)

Antimicrobial peptides in the treatment of dermatosis
af: Hussain, Sumaya Binty
Udgivet: (2024)

Smart automated fruit freshness recognition system using image processing and deep learning
af: Shil, Prantha, et al.
Udgivet: (2023)

A machine learning based approach for DDos attack detection
af: Tahrim, Tasmiah, et al.
Udgivet: (2024)

Delivery of Denosumab via Hollow Microneedle
af: Bushra, Fariha
Udgivet: (2021)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
af: Farha, Ramisa, et al.
Udgivet: (2022)

Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
af: Muntaha, Habibatul
Udgivet: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
af: Kibria, Maharab, et al.
Udgivet: (2022)

Multi-layer security analysis and implementation of smartphone based ATM
af: Farid, Imran, et al.
Udgivet: (2017)

HPTLC, high performance thin-layer chromatography : Quantitative analysis of pharmaceutical formulations /
af: Sethi, P.D
Udgivet: (1996)

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

ত্বকের যত্ন ত্বকের অসুখ /
af: আশফাক, শজল

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
af: Biswas, Sunanda, et al.
Udgivet: (2022)

Effect of Fluctuating surface heat and mass flux on natural convection flow along a vertical flat plate
af: Hussain, Sharmina, et al.
Udgivet: (2016)

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

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
af: Radiah, Faiza, et al.
Udgivet: (2024)

Biologics and Biosimilars as Treatment Options for Psoriasis
af: Moya, Amena Khatun
Udgivet: (2023)

Method development of oil solubility test of Aceclofenac
af: Ray, Joytee
Udgivet: (2020)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
af: Alhossen, Md., et al.
Udgivet: (2021)

Herbal drugs used in to cure different types of skin disorders
af: Rahman, Farhana
Udgivet: (2024)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
af: Datta, Anurag, et al.
Udgivet: (2022)