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.

Manylion Llyfryddiaeth
Prif Awduron:	Athina, Fahima Hasan, Sara, Sadaf Ahmed, Tabassum, Nishat, Sarwar, Quazi Sabrina, Jannat Era, Mun Tarin
Awduron Eraill:	Hossain, Dr. Muhammad Iqbal
Fformat:	Traethawd Ymchwil
Iaith:	en_US
Cyhoeddwyd:	Brac University 2022
Pynciau:	Skin Disease Deep Learning ResNet50V2 Inceptionv3 InceptionResNetV2 XAI Machine Learning Computer algorithms Cognitive learning theory (Deep learning)
Mynediad Ar-lein:	http://hdl.handle.net/10361/17634

Eitemau Tebyg

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Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
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FoodieCal: a convolutional neural network based food detection and calorie estimation system
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An efficient face recognition model using multiple angular images and deep neural network architecture
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EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
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Deep learning-based real-time pothole detection for avoiding road accident
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Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
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Machine fault diagnosis using a modified transferable CNN
gan: Shammi, Sanjana Khan
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Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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Deep learning-based waste classification system for efficient waste management
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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
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