Detection of skin diseases using deep learning

Detection of skin diseases using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiske detaljer
Hovedforfatter:	Shodoy, Masuk Ur Rahman
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	2024
Fag:	CNNs Xception Psoriasis Melanoma Inception V3 Skin disease Skin > Diseases Data mining
Online adgang:	http://hdl.handle.net/10361/23601

Lignende værker

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

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)

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

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

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

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

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

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

Exploring the use of Ingenol Mebutate to prevent non-melanoma skin cancer: A review
af: Haque, Fariha
Udgivet: (2023)

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

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

Computer vision based skin disease detection using machine learning
af: Jayeb, Ahmad Wasiq, et al.
Udgivet: (2023)

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

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
af: Kobra, Khadija-Tul, et al.
Udgivet: (2022)

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

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

A decision support system for symptom-based common diseases and image-based skin diseases detection
af: Joy, Moinul Alam
Udgivet: (2021)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
af: Nivrito, AKM, et al.
Udgivet: (2016)

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

CattleSavior: towards implementing an advanced external disease detection system through deep learning
af: Das, Rantu, et al.
Udgivet: (2024)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
af: Sani, Mehedi Hasan, et al.
Udgivet: (2022)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
af: Shahriar, Farhan, et al.
Udgivet: (2021)

Tomato leaf disease detection using convolutional neural network
af: Hasan, Md. Riazul, et al.
Udgivet: (2023)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
af: Khan, Farhan Sakib, et al.
Udgivet: (2022)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
af: Datta, Pranab, et al.
Udgivet: (2021)

Smoke detection using deep Convolutional neural network
af: Niloy, Wahidul Hasan, et al.
Udgivet: (2021)

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

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
af: Hossain, Mohammad Sakib, et al.
Udgivet: (2023)

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

Early detection of diabetic retinopathy using deep learning techniques
af: Gomes, Veronica Jessica, et al.
Udgivet: (2022)

An efficient deep learning approach to predict heart failure from image data using ejection fraction
af: Tanvir, Nazmul Karim, et al.
Udgivet: (2023)

DenseNet based skin lesion classification and melanoma detection
af: Munaf, Arifuzzaman, et al.
Udgivet: (2021)

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

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

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

Retinal Diseases Detection using Deep Learning
af: Mashfi, Shahriar, et al.
Udgivet: (2023)

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

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

FoodieCal: a convolutional neural network based food detection and calorie estimation system
af: Mashraf, Chowdhury Zerif, et al.
Udgivet: (2021)

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