Essays about: "Melanoma"

Showing result 1 - 5 of 30 essays containing the word Melanoma.

  1. 1. CRISPR Screen to Identify Genes Regulating Melanoma Cell Invasiveness

    University essay from KTH/Proteinvetenskap

    Author : Emma Kroon; [2023]
    Keywords : CRISPR-Cas9; gene knockout; viral packaging; transduction; invasionstest; CRISPR-Cas9; genknockout; viruspackning; transduction; invasion assay;

    Abstract : Maligna cancerceller har förmågan att sprida sig okontrollerat i kroppen och metastasera till avlägsna organ. Kritiskt i metastaserings processen är cancercellers förmåga att invadera närliggande vävnader innan de sprider sig vidare ut i kroppen. READ MORE

  2. 2. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images

    University essay from Lunds universitet/Matematik LTH

    Author : Maria del Pilar Aguilera Manzanera; [2022]
    Keywords : Melanoma; Skin cancer; Dermatoscopy; Image classification; Machine learning; Artificial intelligence; Convolutional neural networks; Dermatology; Squamous cell carcinoma; Basal cell carcinoma; Actinic keratosis; Computer-aided Diagnostics; Digital dermatology; Technology and Engineering;

    Abstract : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. READ MORE

  3. 3. Identifying Melanoma Using Transfer Learning and Convolutional Neural Networks : An investigation of skin disease pre-training

    University essay from KTH/Datavetenskap

    Author : Albin Wikström Kempe; Elin Inoue; [2022]
    Keywords : ;

    Abstract : Melanoma, the deadliest form of skin cancer, has become an increasingly common and pressing health issue. Early detection and treatment can be life-saving, but also poses a challenge. A possible solution presents itself in Convolutional Neural Networks (CNNs). READ MORE

  4. 4. 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. 5. Evaluating automatic colour equalization to preprocess dermoscopic images for classification using a CNN

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

    Author : Niklas Vatn; Julia Byström; [2021]
    Keywords : ;

    Abstract : Skin cancer is one of the most prevalent types of cancer and diagnosing of skin lesions are mostly done by visual inspection by a doctor. Lately, computer- aided diagnosis (CAD) has gained popularity and previous studies have with great results utilized a convolutional neural network (CNN) to classify dermoscopic images of different benign and malignant skin lesions. READ MORE