Skin disease detection and classification using deep learning

Skin disease detection and classification using deep learning

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Shuvon, Mehedi Hasan, Sadia, Rowshanara, Shormi, Shanjida Habib, Arafin, Umma Tania, Chowdhury, Md. Rawha Mikdad
Άλλοι συγγραφείς:	Rhaman, Md. Khalilur
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2022
Θέματα:	Image processing Deep learning MobileNetV2 InceptionV3 ResNetV2 Epoch Softmax Skin disease KNN CNN Detection Tensorflow Keras Layer Dense layer Machine learning Image processing > Digital techniques. Cognitive learning theory (Deep learning)
Διαθέσιμο Online:	http://hdl.handle.net/10361/17027

Παρόμοια τεκμήρια

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Explainable breast cancer detection from Histopathology images using transfer learning and XAI
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An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
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Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
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Diabetic retinopathy detection and classification by using deep learning
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Automatic waste classification using deep learning and computer vision techniques
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Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
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An efficient approach for recyclable waste detection and classification using image processing techniques
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Skin cancer classification for seven types of skin lesions
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An interpretable deep learning approach to detect Alzheimer using MRI images
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Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
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Prostate cancer detection using deep learning neural network with transfer learning approach
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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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Detection of coronary artery blockage at an early stage using effective deep learning technique
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Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
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Gender classification in Bangla language using deep learning-based voice analysis
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A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
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Masked face identification using face recognition
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A deep learning approach towards soft biometrics attributes prediction using CNN
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Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
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A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
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An efficient deep learning approach to detect skin Cancer
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