Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Beste egile batzuk:	Ashraf, Faisal Bin
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Skin cancer CNN model BKL Convolution layer Accuracy AUC MEL BCC AKIEC Deep learning Dermoscopic data Convolutional Neural Network NV DF ROC curve F1 score VASC Machine learning Cognitive learning theory Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/21934

Antzeko izenburuak

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
nork: Al Mamun, Rafsan, et al.
Argitaratua: (2022)

Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
Argitaratua: (2017)

Classification of peripheral blood cell images using deep learning
nork: Aadi, Oyshik Ahmed, et al.
Argitaratua: (2024)

An efficient deep learning approach to classify white blood cells
nork: Turja, Afif Ibna Kadir Khan, et al.
Argitaratua: (2024)

Human Activity Recognition using wearable body sensor by machine learning approach
nork: Promi, Sadia Tangim, et al.
Argitaratua: (2020)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
nork: Hasib, Mehadi Hasan, et al.
Argitaratua: (2021)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
nork: Reza, S. M. Mushfiq, et al.
Argitaratua: (2024)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
nork: Hossain, Shah Md. Shakhawath, et al.
Argitaratua: (2024)

Visual object classification from fMRI data
nork: Newaz, Syed Mishar, et al.
Argitaratua: (2022)

Detection of handwritten text using convolutional neural network
nork: Jasim, Rabib Bin, et al.
Argitaratua: (2024)

An efficient deep learning approach to detect skin Cancer
nork: Islam, Ashfaqul, et al.
Argitaratua: (2022)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
nork: Sakir, Adnan, et al.
Argitaratua: (2023)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
nork: Datta, Nirjhor, et al.
Argitaratua: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
nork: Ifty, Md. Hasin Sarwar, et al.
Argitaratua: (2024)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
nork: Bhuiyan, Mazedul Haque, et al.
Argitaratua: (2021)

Pneumonia Disease detection using the convolutional neural network
nork: Ashrafee, Md. Iftid, et al.
Argitaratua: (2024)

Towards solving perception based autonomous driving assistant system
nork: Hossain, Md. Arafat, et al.
Argitaratua: (2022)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
nork: Ashraf, S.M. Nabil, et al.
Argitaratua: (2021)

Silent voice: harnessing deep learning for lip-reading in Bangla
nork: Shaheen, Munia, et al.
Argitaratua: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
nork: Bhuiyan, Abir Ahammed, et al.
Argitaratua: (2024)

A deep learning approach for prediction of ADHD using brain structure
nork: Siam, Shafin Ahad, et al.
Argitaratua: (2024)

KDANet: optical recognition for Bangla language using deep neural networks
nork: Rabbi, Kazi Kamruzzaman, et al.
Argitaratua: (2023)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
nork: Ali, Syed Muaz
Argitaratua: (2023)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
Argitaratua: (2022)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
nork: Rahman, Aryan, et al.
Argitaratua: (2023)

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
nork: Siam, F. M. Jamius, et al.
Argitaratua: (2021)

Classification of retinal diseases from OCT images using deep learning models
nork: Mokarrom, Md Saif, et al.
Argitaratua: (2024)

Diabetic retinopathy detection and classification by using deep learning
nork: Hossain, Shahriar, et al.
Argitaratua: (2022)

Plant leaf disease identification
nork: Hasan Mahin, Mohammad Rakibul, et al.
Argitaratua: (2024)

Leaf classification by feature extraction using CNN
nork: Bhuiyan, Md. Mazharul Islam, et al.
Argitaratua: (2020)

Crime scene prediction by detecting threatening objects using convolutional neural network
nork: Nakib, Mohammad, et al.
Argitaratua: (2017)

Deep learning based early Glaucoma detection
nork: Islam, Aabrar, et al.
Argitaratua: (2024)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
nork: Khan, Shama, et al.
Argitaratua: (2024)

An efficient deep learning approach to detect skin cancer using image data
nork: Chowdhury, Yaser Al Rahman, et al.
Argitaratua: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
nork: Ahmed, Kazi sabab, et al.
Argitaratua: (2022)

X-Ray classification to detect COVID-19 using ensemble model
nork: Solaiman, Ishmam Ahmed, et al.
Argitaratua: (2021)

Bang-lish sentiment classification using deep learning
nork: Saleheen, Abrar, et al.
Argitaratua: (2023)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
nork: Sagor, Mostofa Kamal, et al.
Argitaratua: (2021)

Plant disease detection using convolutional neural network
nork: Hossain, Mohammad Shifat, et al.
Argitaratua: (2021)