An efficient deep learning approach to detect skin Cancer

An efficient deep learning approach to detect skin Cancer

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Principais autores:	Islam, Ashfaqul, Khan, Daiyan, Chowdhury, Rakeen Ashraf
Outros Autores:	Alam, Md. Ashraful
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	Cancer detection Convolutional neural networks Image classification Deep learning Machine learning Cognitive learning theory (Deep learning)
Acesso em linha:	http://hdl.handle.net/10361/15932

Registros relacionados

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

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

Prostate cancer detection using deep learning neural network with transfer learning approach
por: Badhon, Ariful Islam Mahmud, et al.
Publicado em: (2022)

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

An efficient deep learning approach to detect citrus leaves disease
por: Emon, Shaharear Hossain, et al.
Publicado em: (2024)

Cancer classification using deep learning from medical image data
por: Monir, Raiyan Janik, et al.
Publicado em: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
por: Saif, Muntasir Mahmud, et al.
Publicado em: (2023)

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

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
por: Mubin, Kazi Ehsanul, et al.
Publicado em: (2022)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
por: Hossain, Mainul, et al.
Publicado em: (2022)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
por: Sani, Mehedi Hasan, et al.
Publicado em: (2022)

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
por: Irfanuddin, Chowdhury Mohammad, et al.
Publicado em: (2023)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
por: Nawrin, Ishrat Nur, et al.
Publicado em: (2023)

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

Damaged road detection using Image Processing and Deep Learning
por: Swadesh, Shimran Mahbub, et al.
Publicado em: (2022)

Comparison of deep transfer learning models for cancer diagnosis
por: Joya, Nadia Islam, et al.
Publicado em: (2023)

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

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado em: (2023)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
por: Fiona, Driciru, et al.
Publicado em: (2024)

Detection of skin cancer using Convolutional neural network
por: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Publicado em: (2020)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
por: Radiah, Faiza, et al.
Publicado em: (2024)

An efficient ML approach to detect brain tumor using MRI images
por: Muktadir, MD. Arafat, et al.
Publicado em: (2024)

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

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

Diabetic retinopathy detection and classification by using deep learning
por: Hossain, Shahriar, et al.
Publicado em: (2022)

Deep learning based early Glaucoma detection
por: Islam, Aabrar, et al.
Publicado em: (2024)

An enhanced CNN model for classifying skin cancer
por: Haider, Kazi MD Minhajul, et al.
Publicado em: (2022)

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

Bang-lish sentiment classification using deep learning
por: Saleheen, Abrar, et al.
Publicado em: (2023)

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

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

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
por: Tasawar, Ihtyaz Kader, et al.
Publicado em: (2021)

Skin disease detection and classification using deep learning
por: Shuvon, Mehedi Hasan, et al.
Publicado em: (2022)

A deep learning approach to integrate human-level understanding in a Chatbot
por: Al Mamun, Amirul Islam, et al.
Publicado em: (2021)

Deep learning-based real-time pothole detection for avoiding road accident
por: Basher, Rafsan, et al.
Publicado em: (2022)

Visual object classification from fMRI data
por: Newaz, Syed Mishar, et al.
Publicado em: (2022)

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

Deep learning-based waste classification system for efficient waste management
por: Nakib, Abdullah Al, et al.
Publicado em: (2022)

Leveraging sequential deep learning models for detecting multitude of human action categories
por: Pranta, Kazi Al Refat, et al.
Publicado em: (2024)

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