Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification

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

Xehetasun bibliografikoak
Egile Nagusiak:	Nazmee, Namirah, Mahmud, Sadia, Ali, Mashyat Samiha, Alam, Khusbo
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Machine learning Monkeypox Skin disease DenseNet Machine Learning Monkeypox virus Skin > Diseases
Sarrera elektronikoa:	http://hdl.handle.net/10361/23638

Antzeko izenburuak

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

Antimicrobial peptides in skin diseases
nork: Pinkey, Monika Tabassum
Argitaratua: (2022)

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

A novel vaccine designing method using in-silico tools against scaffold protein OPG 125 of monkeypox virus
nork: Jannati, Sadia Zafur
Argitaratua: (2024)

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

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

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

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

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

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

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

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

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

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

Antimicrobial peptides in the treatment of dermatosis
nork: Hussain, Sumaya Binty
Argitaratua: (2024)

A descriptive review on Monkeypox virus from past to present
nork: Halder, Angelina Samantha
Argitaratua: (2024)

Heart disease prediction using machine learning algorithms
nork: Ali, Musfiq, et al.
Argitaratua: (2019)

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

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

Detection of coronary artery blockage at an early stage using effective deep learning technique
nork: Promit, Tahmid Ashrafee, et al.
Argitaratua: (2023)

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

Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
Argitaratua: (2019)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
nork: Bhuiyan, Mahdi Hasan, et al.
Argitaratua: (2024)

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

Machine learning approach for ECG analysis and predicting different heart diseases
nork: Tithi, Sushmita Roy, et al.
Argitaratua: (2019)

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

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

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

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

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

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

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
nork: Haque, Adiba, et al.
Argitaratua: (2022)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
nork: Sakir, Adnan, et al.
Argitaratua: (2023)

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

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

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
nork: Oishi, Fayza Rezwana, et al.
Argitaratua: (2020)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
nork: Hossain, Ashraful, et al.
Argitaratua: (2024)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
nork: Amin, M.M. Shahriar, et al.
Argitaratua: (2021)