Skin lesion classification using different CNN models

Skin lesion classification using different CNN models

This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Oli, Md. Yahea Sultan
Άλλοι συγγραφείς:	Chakrabarty, Amitabha
Μορφή:	Project report
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Cancer Distinguished Melanoma Lesion Densenet121 VGG16 In- ceptionv3 ResNet50 Computer algorithms Pattern recognition systems Neural networks (Computer science)
Διαθέσιμο Online:	http://hdl.handle.net/10361/21229

Παρόμοια τεκμήρια

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Analyzing students’ concentration in online courses through Webcam
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A domain and noise adversarial bird tune classification pipeline using deep neural network
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RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
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Homomorphic encryption on deep learning in accurate prediction of brain tumour
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Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
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Έκδοση: (2021)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
ανά: Haque, Samiha, κ.ά.
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Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
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Deep learning based medical X-ray image recognition and classification
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Έκδοση: (2019)

Brain tumor segmentation from MRI images using convolutional neural networks
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Retinal Diseases Detection using Deep Learning
ανά: Mashfi, Shahriar, κ.ά.
Έκδοση: (2023)