An efficient approach to detect melanoma skin cancer using a custom CNN model

An efficient approach to detect melanoma skin cancer using a custom CNN model

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

Opis bibliograficzny
Główni autorzy:	Rahman, K.M Saidur, Amin, Tanjim Bin, Rahman, Mahdi Sakib, Sakib, G M Shadman Hossain
Kolejni autorzy:	Alam, Md. Ashraful
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Convolutional Neural Networks (CNN) Melanoma Skin cancer VGG-16 VGG-19 AlexNet Artificial intelligence > Medical applications Diagnostic imaging
Dostęp online:	http://hdl.handle.net/10361/21833

Podobne zapisy

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
od: Rahman, Rafeed, i wsp.
Wydane: (2021)

Skin lesion classification using different CNN models
od: Oli, Md. Yahea Sultan
Wydane: (2023)

A Comparative study on Bengali handwritten character recognition and prediction using CNN
od: Abrar, Muntaqa, i wsp.
Wydane: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i wsp.
Wydane: (2024)

Exploring the use of Ingenol Mebutate to prevent non-melanoma skin cancer: A review
od: Haque, Fariha
Wydane: (2023)

Detection of skin cancer using Convolutional neural network
od: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, i wsp.
Wydane: (2020)

A review on combinatorial therapies in Melanoma
od: Ahmmed, Md. Kawsar
Wydane: (2024)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i wsp.
Wydane: (2019)

A review on melanoma treatment by cold atmospheric plasma
od: Pranto, Alif Hasan
Wydane: (2023)

DenseNet based skin lesion classification and melanoma detection
od: Munaf, Arifuzzaman, i wsp.
Wydane: (2021)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i wsp.
Wydane: (2021)

Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
od: Islam, Karima
Wydane: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i wsp.
Wydane: (2024)

Detection of skin diseases using deep learning
od: Shodoy, Masuk Ur Rahman
Wydane: (2024)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
od: Moon, Nowrin Tasnim, i wsp.
Wydane: (2023)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
od: Asaduzzaman, i wsp.
Wydane: (2021)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
od: Khan, Farhan Sakib, i wsp.
Wydane: (2022)

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

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
od: Reza, Jamil Ur, i wsp.
Wydane: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i wsp.
Wydane: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
od: Haque, Abid Hossain, i wsp.
Wydane: (2024)

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i wsp.
Wydane: (2021)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i wsp.
Wydane: (2022)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i wsp.
Wydane: (2023)

A review on Metastatic Melanoma combination therapy Ipilimumab-Nivolumab
od: Chakraborty, Anupama
Wydane: (2024)

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i wsp.
Wydane: (2024)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
od: Bhuiyan, Md Raihanul Islam, i wsp.
Wydane: (2024)

Integration of handcrafted and deep neural features for Melanoma classification
od: Rahman, Mohammad Saminoor, i wsp.
Wydane: (2022)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
od: Nazmee, Namirah, i wsp.
Wydane: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i wsp.
Wydane: (2022)

An efficient deep learning approach to predict heart failure from image data using ejection fraction
od: Tanvir, Nazmul Karim, i wsp.
Wydane: (2023)

Skin cancer classification for seven types of skin lesions
od: Rahman, Md. Tawsifur, i wsp.
Wydane: (2024)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
od: Sarwar, Arafat, i wsp.
Wydane: (2023)

To control site-specific skin gene expression, autocrine mimics paracrine canonical Wnt signaling and Is activated ectopically in skin disease
od: Kim, Dongwon, i wsp.
Wydane: (2016)

Detection of pneumonia from chest X-ray images using machine learning
od: Priya, Afsana Rahman, i wsp.
Wydane: (2023)

An Efficient deep learning approach to detect Brain Tumor using MRI images
od: Islam, Annur Tasnim, i wsp.
Wydane: (2022)

An efficient face recognition model using multiple angular images and deep neural network architecture
od: Subah, Silma, i wsp.
Wydane: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
od: Chowdhury, Prabal Kumar, i wsp.
Wydane: (2024)

Analyzing students’ concentration in online courses through Webcam
od: Asif, Md., i wsp.
Wydane: (2024)

Deep Learning based Bangla Voice to Braille Character Conversion System
od: Iqbal, Syed Bayes, i wsp.
Wydane: (2022)