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.

Xehetasun bibliografikoak
Egile Nagusiak:	Islam, Ashfaqul, Khan, Daiyan, Chowdhury, Rakeen Ashraf
Beste egile batzuk:	Alam, Md. Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Cancer detection Convolutional neural networks Image classification Deep learning Machine learning Cognitive learning theory (Deep learning)
Sarrera elektronikoa:	http://hdl.handle.net/10361/15932

Antzeko izenburuak

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

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

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

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

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

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

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

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

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

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

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

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

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
nork: Nawrin, Ishrat Nur, 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)

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

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

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

Corn leaf disease detection using deep convolution neural network
nork: Rabbi, Rawhatur, et al.
Argitaratua: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Skin disease detection and classification using deep learning
nork: Shuvon, Mehedi Hasan, et al.
Argitaratua: (2022)

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

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

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

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

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

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

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