An efficient deep learning approach to detect skin cancer using image data

An efficient deep learning approach to detect skin cancer using image data

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

Библиографические подробности
Главные авторы:	Chowdhury, Yaser Al Rahman, Ahmed, S.K.Saqlayen, Faisal, Abdullah All, Zahir, Zerjiss
Другие авторы:	Alam, Dr. Md. Ashraful
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Classification Detection deep learning Accuracy Neural network Acquisition Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science) Image processing > Digital techniques.
Online-ссылка:	http://hdl.handle.net/10361/19295

Схожие документы

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Classification of peripheral blood cell images using deep learning
по: Aadi, Oyshik Ahmed, и др.
Опубликовано: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
по: Sakir, Adnan, и др.
Опубликовано: (2023)

An enhanced CNN model for classifying skin cancer
по: Haider, Kazi MD Minhajul, и др.
Опубликовано: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

An efficient deep learning approach to detect citrus leaves disease
по: Emon, Shaharear Hossain, и др.
Опубликовано: (2024)

Cancer classification using deep learning from medical image data
по: Monir, Raiyan Janik, и др.
Опубликовано: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
по: Saif, Muntasir Mahmud, и др.
Опубликовано: (2023)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
по: Mahtab, Motahar, и др.
Опубликовано: (2022)

Diabetic retinopathy detection and classification by using deep learning
по: Hossain, Shahriar, и др.
Опубликовано: (2022)

Visual object classification from fMRI data
по: Newaz, Syed Mishar, и др.
Опубликовано: (2022)

Bang-lish sentiment classification using deep learning
по: Saleheen, Abrar, и др.
Опубликовано: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
по: Ahmed, Kazi sabab, и др.
Опубликовано: (2022)

Deep learning-based waste classification system for efficient waste management
по: Nakib, Abdullah Al, и др.
Опубликовано: (2022)

An efficient deep learning approach to classify white blood cells
по: Turja, Afif Ibna Kadir Khan, и др.
Опубликовано: (2024)

Damaged road detection using Image Processing and Deep Learning
по: Swadesh, Shimran Mahbub, и др.
Опубликовано: (2022)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
по: Ashraf, S.M. Nabil, и др.
Опубликовано: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
по: Ifty, Md. Hasin Sarwar, и др.
Опубликовано: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
по: Pranta, Kazi Al Refat, и др.
Опубликовано: (2024)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
по: Sani, Mehedi Hasan, и др.
Опубликовано: (2022)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
по: Ahmed, Istiak, и др.
Опубликовано: (2023)

An efficient ML approach to detect brain tumor using MRI images
по: Muktadir, MD. Arafat, и др.
Опубликовано: (2024)

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
по: Shafique, Nadia, и др.
Опубликовано: (2023)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
по: Nawrin, Ishrat Nur, и др.
Опубликовано: (2023)

Deep Learning based Medicinal Plants Leaf Recognition
по: Mahalanabish, Tonusri
Опубликовано: (2023)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
по: Fiona, Driciru, и др.
Опубликовано: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
по: Datta, Nirjhor, и др.
Опубликовано: (2024)

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
по: Irfanuddin, Chowdhury Mohammad, и др.
Опубликовано: (2023)

Deep learning-based real-time pothole detection for avoiding road accident
по: Basher, Rafsan, и др.
Опубликовано: (2022)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
по: Mahmud, Shakib Izaz, и др.
Опубликовано: (2022)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
по: Sagor, Mostofa Kamal, и др.
Опубликовано: (2021)

Predicting crime using deep learning
по: Shihab, Muhammad Nafees, и др.
Опубликовано: (2024)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
по: Ahasan, Md. Mubtasim, и др.
Опубликовано: (2022)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
по: Islam, Roman, и др.
Опубликовано: (2024)

Document template identification and data extraction using machine learning and deep learning approach
по: Roy, Kaushik, и др.
Опубликовано: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
по: Mubin, Kazi Ehsanul, и др.
Опубликовано: (2022)

Predicting regional accents of Bengali language using deep learning
по: Ibrahim, Md. Abu, и др.
Опубликовано: (2022)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
по: Siddique, Labib Ahmed, и др.
Опубликовано: (2022)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
по: Chakraborty, Dhruba, и др.
Опубликовано: (2022)