Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Athina, Fahima Hasan, Sara, Sadaf Ahmed, Tabassum, Nishat, Sarwar, Quazi Sabrina, Jannat Era, Mun Tarin
Andre forfattere:	Hossain, Dr. Muhammad Iqbal
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2022
Fag:	Skin Disease Deep Learning ResNet50V2 Inceptionv3 InceptionResNetV2 XAI Machine Learning Computer algorithms Cognitive learning theory (Deep learning)
Online adgang:	http://hdl.handle.net/10361/17634

Lignende værker

Citrus leaf disease detection by image processing
af: Chowdhury, Mahir Faisal, et al.
Udgivet: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
af: Rahman, Afridi Ibn, et al.
Udgivet: (2022)

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

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

A comparative study of lung cancer prediction using deep learning
af: Mugdho, Aka Mohammad, et al.
Udgivet: (2023)

Violent activity detection through surveillance camera using deep learning
af: Miah, Parvez, et al.
Udgivet: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
af: Farabi, Farhan, et al.
Udgivet: (2023)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
af: Ismail, Sayem Mohammad, et al.
Udgivet: (2021)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
af: Awwal, Alvina, et al.
Udgivet: (2021)

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

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

Approaching transfer learning to identify correctly worn facial masks
af: Sadid, Tausif, et al.
Udgivet: (2021)

Covid-19 infected lung detection using machine learning
af: Islam, Md. Muntaha, et al.
Udgivet: (2022)

Analyzing students’ concentration in online courses through Webcam
af: Asif, Md., 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)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
af: Tasnim, Sadia, et al.
Udgivet: (2023)

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

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

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
af: Promita, Samanta Tabassum, et al.
Udgivet: (2022)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
af: Akhter, Nasrin
Udgivet: (2023)

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

An interpretable deep learning approach to detect Alzheimer using MRI images
af: Oni, Farhan Anzum, et al.
Udgivet: (2023)

Automatic waste classification using deep learning and computer vision techniques
af: Akash, MD., et al.
Udgivet: (2023)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
af: Haque, Abid Hossain, et al.
Udgivet: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
af: Mubin, Kazi Ehsanul, et al.
Udgivet: (2022)

Identifying brain abnormalities using image processing and CNN models
af: Talukder, Ismat Shehrin, et al.
Udgivet: (2021)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
af: Khisa, Pushpakali, et al.
Udgivet: (2024)

Masked face identification using face recognition
af: Hossen, Tareq, et al.
Udgivet: (2024)

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

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

An efficient face recognition model using multiple angular images and deep neural network architecture
af: Subah, Silma, et al.
Udgivet: (2024)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
af: Mim, Ankhi Akter, et al.
Udgivet: (2024)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
af: Choudhury, Prionto Kumar, et al.
Udgivet: (2024)

Deep learning-based real-time pothole detection for avoiding road accident
af: Basher, Rafsan, et al.
Udgivet: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
af: Haque, Samiha, et al.
Udgivet: (2021)

Machine fault diagnosis using a modified transferable CNN
af: Shammi, Sanjana Khan
Udgivet: (2024)

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

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

Deep learning-based waste classification system for efficient waste management
af: Nakib, Abdullah Al, et al.
Udgivet: (2022)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
af: Sarmi, Kaniz Fatima, et al.
Udgivet: (2022)