Essays about: "Malignant Melanoma"

Showing result 1 - 5 of 19 essays containing the words Malignant 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

3. 2. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

   Author : Abdi Gobena; [2023]
   Keywords : Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

   Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE

4. 3. Determining Important Features for Melanoma Classification Through Feature Selection

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

   Author : Vilmer Jonsson; Tor Strimbold; [2023]
   Keywords : ;

   Abstract : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. READ MORE

5. 4. 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

6. 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