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.

Xehetasun bibliografikoak
Egile Nagusiak:	Jayeb, Ahmad Wasiq, Hore, Alvin Rahul, Anjum, Ramisa, Sadeque, Sohana Sanjana, Auqib, Syed Tahsin
Beste egile batzuk:	Khondaker, Arnisha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	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
Sarrera elektronikoa:	http://hdl.handle.net/10361/21845

Antzeko izenburuak

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Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
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Argitaratua: (2024)

Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
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Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
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Argitaratua: (2023)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
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A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
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Argitaratua: (2023)

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

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

An in depth analysis of neural network with application in finance
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Argitaratua: (2019)

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
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Argitaratua: (2021)

Antimicrobial peptides in the treatment of dermatosis
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Argitaratua: (2023)

A machine learning based approach for DDos attack detection
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Argitaratua: (2021)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
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Argitaratua: (2022)

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

A deep learning approach towards soft biometrics attributes prediction using CNN
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Argitaratua: (2022)

Multi-layer security analysis and implementation of smartphone based ATM
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Argitaratua: (2017)

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Argitaratua: (2024)

ত্বকের যত্ন ত্বকের অসুখ /
nork: 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
nork: Biswas, Sunanda, et al.
Argitaratua: (2022)

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

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

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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Argitaratua: (2024)

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Argitaratua: (2023)

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Argitaratua: (2021)

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Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
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Argitaratua: (2022)