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Showing result 1 - 5 of 7 essays matching the above criteria.

1. 1. 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. 2. 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

4. 3. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Elin Johansson; Fanny Månefjord; [2021]
   Keywords : deep learning; image analysis; malignant melanoma; tissue segmentation; mutation classification; Inception v3; Technology and Engineering;

   Abstract : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. READ MORE

5. 4. Malignant Melanoma Classification with Deep Learning

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Jakob Kisselgof; [2019]
   Keywords : Melanoma classification deep learning;

   Abstract : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. READ MORE

6. 5. Deep Learning Method used in Skin Lesions Segmentation and Classification

   University essay from KTH/Medicinsk teknik

   Author : Fengkai Wan; [2018]
   Keywords : Deep neural network; Skin lesion; Segmentation; Classification;

   Abstract : Malignant melanoma (MM) is a type of skin cancer that is associated with a very poor prognosis and can often lead to death. Early detection is crucial in order to administer the right treatment successfully but currently requires the expertise of a dermatologist. READ MORE