Essays about: "Hudcancer"

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

  1. 1. The impact of pruning Convolutional Neural Networks when classifying skin cancer

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

    Author : Gustaf Larsson; Marcus Odin; [2023]
    Keywords : ;

    Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE

  2. 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

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

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

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

    Abstract : 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. READ MORE

  4. 4. 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. 5. 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