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.

Bibliografiset tiedot
Päätekijät:	Shuvon, Mehedi Hasan, Sadia, Rowshanara, Shormi, Shanjida Habib, Arafin, Umma Tania, Chowdhury, Md. Rawha Mikdad
Muut tekijät:	Rhaman, Md. Khalilur
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2022
Aiheet:	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)
Linkit:	http://hdl.handle.net/10361/17027

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Masked face identification using face recognition
Tekijä: Hossen, Tareq, et al.
Julkaistu: (2024)

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

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

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

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