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.

Bibliografiset tiedot
Päätekijät:	Jayeb, Ahmad Wasiq, Hore, Alvin Rahul, Anjum, Ramisa, Sadeque, Sohana Sanjana, Auqib, Syed Tahsin
Muut tekijät:	Khondaker, Arnisha
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	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
Linkit:	http://hdl.handle.net/10361/21845

Samankaltaisia teoksia

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

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

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

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

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

Antimicrobial peptides in skin diseases
Tekijä: Pinkey, Monika Tabassum
Julkaistu: (2022)

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

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

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

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

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

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

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

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

Boundary layer theory.
Tekijä: Schlichting, Hermann, 1907-
Julkaistu: (2001)

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

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

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

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

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

Antimicrobial peptides in the treatment of dermatosis
Tekijä: Hussain, Sumaya Binty
Julkaistu: (2024)

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

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

Delivery of Denosumab via Hollow Microneedle
Tekijä: Bushra, Fariha
Julkaistu: (2021)

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

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

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

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

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

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

ত্বকের যত্ন ত্বকের অসুখ /
Tekijä: 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
Tekijä: Biswas, Sunanda, et al.
Julkaistu: (2022)

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

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

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

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

Method development of oil solubility test of Aceclofenac
Tekijä: Ray, Joytee
Julkaistu: (2020)

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

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

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