Essays about: "Inception-V3"

Showing result 1 - 5 of 18 essays containing the word Inception-V3.

  1. 1. Vitiligo image classification using pre-trained Convolutional Neural Network Architectures, and its economic impact on health care

    University essay from KTH/Hälsoinformatik och logistik

    Author : Nour Bashar; MRami Alsaid Suliman; [2022]
    Keywords : Vitiligo; deep CNN architectures; Image classification; pre-trained models; dataset; AUC; economic impact.; Vitiligo; djupa CNN-arkitekturer; bildklassificering; förtränade modeller; dataset; AUC; ekonomisk påverkan.;

    Abstract : Vitiligo is a skin disease where the pigment cells that produce melanin die or stop functioning, which causes white patches to appear on the body. Although vitiligo is not considered a serious disease, there is a risk that something is wrong with a person's immune system. READ MORE

  3. 2. Engagement Recognition in an E-learning Environment Using Convolutional Neural Network

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Zeting Jiang; Kaicheng Zhu; [2021]
    Keywords : Object recognition; Deep Learning; Distance learning;

    Abstract : Background. Under the current situation, distance education has rapidly become popular among students and teachers. This educational situation has changed the traditional way of teaching in the classroom. Under this kind of circumstance, students will be required to learn independently. READ MORE

  4. 3. Identifying Chaos in Skin Lesions Using Deep Learning : A potential examination tool for dermatologists

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Marcus Odlander; [2021]
    Keywords : ;

    Abstract : This thesis investigated whether a deep learning model could learn features of Chaos,from the Chaos & Clues evaluation protocol, in a given dermatoscopic image data set. Asuccessful result could be of use in a future decision-support system for when dermatologists examine skin lesions for traces of melanoma (type of skin cancer). READ MORE

  5. 4. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Elin Johansson; Fanny Månefjord; [2021]
    Keywords : deep learning; image analysis; malignant melanoma; tissue segmentation; mutation classification; Inception v3; Technology and Engineering;

    Abstract : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. READ MORE

  6. 5. Generate synthetic datasets and scenarios by learning from the real world

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

    Author : Paolo Berizzi; [2021]
    Keywords : Synthetic Data; Rendered Images; Computer Vision; Syntetiska data; återgivna bilder; datorsyn;

    Abstract : The modern paradigms of machine learning algorithms and artificial intelligence base their success on processing a large quantity of data. Nevertheless, data does not come for free, and it can sometimes be practically unfeasible to collect enough data to train machine learning models successfully. READ MORE