Sökning: "Computer-aided Diagnostics"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Computer-aided Diagnostics.

1. 1. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

   Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
   Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

   Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER

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

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

   Författare :Vilmer Jonsson; Tor Strimbold; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

4. 3. 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

5. 4. A Comparative Study on the effect of different hyperparameters on the performance of VGGNet-16 for detection of Cardiomegaly in Chest X-ray Images

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Ouday Ahmed; Oliver Lindblad; [2022]
   Nyckelord :;

   Sammanfattning : Computer aided diagnostics (CAD) systems have been widely researched and used in the medical field since it was introduced in the 1960s. The system functions as a support for radiologists in medical examinations using imaging technology such as X-rays, MRI and CT scans to diagnose diseases and treat injuries. LÄS MER

7. 5. Convolutional Neural Networks for Classification of Metastatic Tissue in Lymph Nodes : How Does Cutout Affect the Performance of Convolutional Neural Networks for Biomedical Image Classification?

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

   Författare :Andreas Ericsson; Filip Döringer Kana; [2021]
   Nyckelord :Convolutional neural network; CNN; breast cancer; computer aided diagnostics; data augmentation;

   Sammanfattning : One of every eight women will in their lifetime suffer from breast cancer, making it the most common type of cancer for women. A successful treatment is very much dependent on identifying metastatic tissue which is cancer found beyond the initial tumour. Using deep learning within biomedical analysis has become an effective approach. LÄS MER