Skin disease detection and classification using deep learning

Skin disease detection and classification using deep learning

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

Dettagli Bibliografici
Autori principali:	Shuvon, Mehedi Hasan, Sadia, Rowshanara, Shormi, Shanjida Habib, Arafin, Umma Tania, Chowdhury, Md. Rawha Mikdad
Altri autori:	Rhaman, Md. Khalilur
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	Image processing Deep learning MobileNetV2 InceptionV3 ResNetV2 Epoch Softmax Skin disease KNN CNN Detection Tensorflow Keras Layer Dense layer Machine learning Image processing > Digital techniques. Cognitive learning theory (Deep learning)
Accesso online:	http://hdl.handle.net/10361/17027

Documenti analoghi

Citrus leaf disease detection by image processing
di: Chowdhury, Mahir Faisal, et al.
Pubblicazione: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
di: Athina, Fahima Hasan, et al.
Pubblicazione: (2022)

Computer vision based skin disease detection using machine learning
di: Jayeb, Ahmad Wasiq, et al.
Pubblicazione: (2023)

A comparative study of lung cancer prediction using deep learning
di: Mugdho, Aka Mohammad, et al.
Pubblicazione: (2023)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
di: Kobra, Khadija-Tul, et al.
Pubblicazione: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
di: Rahman, Afridi Ibn, et al.
Pubblicazione: (2022)

Approaching transfer learning to identify correctly worn facial masks
di: Sadid, Tausif, et al.
Pubblicazione: (2021)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
di: Farabi, Farhan, et al.
Pubblicazione: (2023)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
di: Khan, Farhan Sakib, et al.
Pubblicazione: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
di: Ismail, Sayem Mohammad, et al.
Pubblicazione: (2021)

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

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

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
di: Niaz, H.M, et al.
Pubblicazione: (2024)

Automatic waste classification using deep learning and computer vision techniques
di: Akash, MD., et al.
Pubblicazione: (2023)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
di: Shahriar, Farhan, et al.
Pubblicazione: (2021)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
di: Promita, Samanta Tabassum, et al.
Pubblicazione: (2022)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
di: Hossain, Mohammad Sakib, et al.
Pubblicazione: (2023)

Violent activity detection through surveillance camera using deep learning
di: Miah, Parvez, et al.
Pubblicazione: (2023)

Analyzing students’ concentration in online courses through Webcam
di: Asif, Md., et al.
Pubblicazione: (2024)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
di: Awwal, Alvina, et al.
Pubblicazione: (2021)

An efficient approach for recyclable waste detection and classification using image processing techniques
di: Chowdhury, Prabal Kumar, et al.
Pubblicazione: (2024)

Skin cancer classification for seven types of skin lesions
di: Rahman, Md. Tawsifur, et al.
Pubblicazione: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
di: Oni, Farhan Anzum, et al.
Pubblicazione: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
di: Sharma, Tanmoyee, et al.
Pubblicazione: (2021)

Real-time crime detection using convolutional LSTM and YOLOv7
di: Sakiba, Cyrus, et al.
Pubblicazione: (2023)

Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
di: Zaman, Sara Milham, et al.
Pubblicazione: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
di: Khisa, Pushpakali, et al.
Pubblicazione: (2024)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
di: Shahriar, Hasan, et al.
Pubblicazione: (2022)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
di: Sarmi, Kaniz Fatima, et al.
Pubblicazione: (2022)

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

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
di: Datta, Anurag, et al.
Pubblicazione: (2022)

Detection of coronary artery blockage at an early stage using effective deep learning technique
di: Promit, Tahmid Ashrafee, et al.
Pubblicazione: (2023)

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
di: Islam, Tahsin, et al.
Pubblicazione: (2021)

Gender classification in Bangla language using deep learning-based voice analysis
di: Hakim, Talukder Juhaer, et al.
Pubblicazione: (2024)

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
di: Hasan, Moenul, et al.
Pubblicazione: (2021)

Masked face identification using face recognition
di: Hossen, Tareq, et al.
Pubblicazione: (2024)

A deep learning approach towards soft biometrics attributes prediction using CNN
di: Kibria, Maharab, et al.
Pubblicazione: (2022)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
di: Nahar, Jannatun, et al.
Pubblicazione: (2022)

A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
di: Bin Mushfiq, Rahil, et al.
Pubblicazione: (2024)

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