Essays about: "convolutional neural network"

Showing result 1 - 5 of 257 essays containing the words convolutional neural network.

  1. 1. Malignant Melanoma Classification with Deep Learning

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Jakob Kisselgof; [2019]
    Keywords : Melanoma classification deep learning;

    Abstract : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. READ MORE

  2. 2. Classification of High Risk Prostate Cancer using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Elin Olofsson; [2019]
    Keywords : Prostate Cancer; CNN; Deep Learning; PRIAS; Active Surveillance; Digital Pathology; Mathematics and Statistics;

    Abstract : Prostate cancer is one of the most common types of cancer for men, making proper diagnostic essential. Using machine learning as a tool to help in digital pathology has become increasingly popular and helps to limit the high intra observer variability between pathologists. READ MORE

  3. 3. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lovisa Montelius; George Rezkalla; [2019]
    Keywords : Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

    Abstract : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. READ MORE

  4. 4. A Comparative Study of Facial Recognition Techniques : With focus on low computational power

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Timmy Schenkel; Oliver Ringhage; Nicklas Branding; [2019]
    Keywords : Machine Learning; Facial Recognition; Low Computational Power;

    Abstract : Facial recognition is an increasingly popular security measure in scenarios with low computational power, such as phones and Raspberry Pi’s. There are many facial recognition techniques available. The aim is to compare three such techniques in both performance and time metrics. READ MORE

  5. 5. Video Saliency Detection using Deep Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jakob Wiesinger; [2019]
    Keywords : ;

    Abstract : A deep learning model for video saliency detection is proposed and trained. The neural network architecture combines recent innovations in the field: A twostream approach merges two separate input streams for appearance and motion aspects of saliency. Pre-trained convolutional features detect objectness. READ MORE