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.

ग्रंथसूची विवरण
मुख्य लेखक:	Oli, Md. Yahea Sultan
अन्य लेखक:	Chakrabarty, Amitabha
स्वरूप:	Project report
भाषा:	English
प्रकाशित:	Brac University 2023
विषय:	Cancer Distinguished Melanoma Lesion Densenet121 VGG16 In- ceptionv3 ResNet50 Computer algorithms Pattern recognition systems Neural networks (Computer science)
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/21229

समान संसाधन

DenseNet based skin lesion classification and melanoma detection
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प्रकाशित: (2021)

Citrus leaf disease detection by image processing
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प्रकाशित: (2024)

Detecting brain tumor using deep neural networks from MRI images
द्वारा: Imamuzzaman, A.S.M., और अन्य
प्रकाशित: (2021)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
द्वारा: Khisa, Pushpakali, और अन्य
प्रकाशित: (2024)

Skin cancer classification for seven types of skin lesions
द्वारा: Rahman, Md. Tawsifur, और अन्य
प्रकाशित: (2024)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
द्वारा: Ismail, Sayem Mohammad, और अन्य
प्रकाशित: (2021)

Identifying brain abnormalities using image processing and CNN models
द्वारा: Talukder, Ismat Shehrin, और अन्य
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A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
द्वारा: Akhter, Nasrin
प्रकाशित: (2023)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
द्वारा: Mim, Ankhi Akter, और अन्य
प्रकाशित: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
द्वारा: Tasnim, Sadia, और अन्य
प्रकाशित: (2023)

Covid-19 infected lung detection using machine learning
द्वारा: Islam, Md. Muntaha, और अन्य
प्रकाशित: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
द्वारा: Rahman, Afridi Ibn, और अन्य
प्रकाशित: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
द्वारा: Haque, Abid Hossain, और अन्य
प्रकाशित: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
द्वारा: Khan, Farhan Sakib, और अन्य
प्रकाशित: (2022)

Bone age comparison using convolutional neural network
द्वारा: Nawaz, Fariha, और अन्य
प्रकाशित: (2019)

An efficient approach to detect melanoma skin cancer using a custom CNN model
द्वारा: Rahman, K.M Saidur, और अन्य
प्रकाशित: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
द्वारा: Shahriar, Hasan, और अन्य
प्रकाशित: (2022)

Detection of coronary artery blockage at an early stage using effective deep learning technique
द्वारा: Promit, Tahmid Ashrafee, और अन्य
प्रकाशित: (2023)

Speech command classification based on deep neural networks
द्वारा: Hossain, Md. Sakib, और अन्य
प्रकाशित: (2023)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
द्वारा: Nag, Pollock, और अन्य
प्रकाशित: (2023)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
द्वारा: Athina, Fahima Hasan, और अन्य
प्रकाशित: (2022)

Enhancing eye disease classification through synergistic deep learning approaches
द्वारा: Rahaman, Asif, और अन्य
प्रकाशित: (2024)

Analyzing students’ concentration in online courses through Webcam
द्वारा: Asif, Md., और अन्य
प्रकाशित: (2024)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
द्वारा: Choudhury, Prionto Kumar, और अन्य
प्रकाशित: (2024)

Early detection of cervical cancer using deep neural networks
द्वारा: Akhund, Atoshi, और अन्य
प्रकाशित: (2023)

Detection of pneumonia from chest X-ray images using machine learning
द्वारा: Priya, Afsana Rahman, और अन्य
प्रकाशित: (2023)

Pattern classification /
द्वारा: Duda, Richard O.

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
द्वारा: Hossain, Mohammad Sakib, और अन्य
प्रकाशित: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
द्वारा: Moon, Nowrin Tasnim, और अन्य
प्रकाशित: (2023)

An efficient face recognition model using multiple angular images and deep neural network architecture
द्वारा: Subah, Silma, और अन्य
प्रकाशित: (2024)

A domain and noise adversarial bird tune classification pipeline using deep neural network
द्वारा: Riya, Aparna Sarker, और अन्य
प्रकाशित: (2023)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
द्वारा: Rahman, Rafeed, और अन्य
प्रकाशित: (2021)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
द्वारा: Sarwar, Arafat, और अन्य
प्रकाशित: (2023)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
द्वारा: Datta, Pranab, और अन्य
प्रकाशित: (2021)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
द्वारा: Haque, Samiha, और अन्य
प्रकाशित: (2021)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
द्वारा: Bhuiyan, Md Raihanul Islam, और अन्य
प्रकाशित: (2024)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
द्वारा: Farhan, Rafid, और अन्य
प्रकाशित: (2024)

Deep learning based medical X-ray image recognition and classification
द्वारा: Khan, Md. Rakib Hossain
प्रकाशित: (2019)

Brain tumor segmentation from MRI images using convolutional neural networks
द्वारा: Khan, Mushfiqur Rahman
प्रकाशित: (2024)

Retinal Diseases Detection using Deep Learning
द्वारा: Mashfi, Shahriar, और अन्य
प्रकाशित: (2023)