Sökning: "Basal cell carcinoma"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Basal cell carcinoma.

1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Sally Vizins; Hanna Råhnängen; [2024]
   Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

   Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER

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

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Maria del Pilar Aguilera Manzanera; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Niklas Vatn; Julia Byström; [2021]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

5. 4. Har hydroklortiazid koppling till hudcancer?

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)

   Författare :Rim Kebede; [2019]
   Nyckelord :;

   Sammanfattning : Bakgrund: Hypertoni eller högt blodtryck är en av de vanligaste förekommande sjukdomar globalt. Hypertoni är inte en allvarlig sjukdom i sig men spelar en stor roll för att förebygga riskfaktorer för kardiovaskulära sjukdomar som hjärtsvikt och stroke. LÄS MER

7. 5. Evaluating a deep convolutional neural network for classification of skin cancer

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Joakim Boman; Alexander Volminger; [2018]
   Nyckelord :;

   Sammanfattning : Computer-aided diagnosis (CAD) has become an important part of themedical field. Skin cancer is a common and deadly disease that a CADsystem could potentially detect. It is clearly visible on the skin andtherefore only images of skin lesions could be used in order to pro-vide a diagnosis. LÄS MER