How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi?
Abstract is missing (Short communication)
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Medical Journals Sweden
2023-03-01
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| Series: | Acta Dermato-Venereologica |
| Subjects: | |
| Online Access: | https://medicaljournalssweden.se/actadv/article/view/4822 |
| _version_ | 1797871025254301696 |
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| author | Martin Gillstedt Klara Segerholm Ludwig Mannius John Paoli Sam Polesie |
| author_facet | Martin Gillstedt Klara Segerholm Ludwig Mannius John Paoli Sam Polesie |
| author_sort | Martin Gillstedt |
| collection | DOAJ |
| description |
Abstract is missing (Short communication)
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| first_indexed | 2024-04-10T00:36:38Z |
| format | Article |
| id | doaj.art-b758d46ac7f24b7485018b7d85bb5418 |
| institution | Directory Open Access Journal |
| issn | 0001-5555 1651-2057 |
| language | English |
| last_indexed | 2024-04-10T00:36:38Z |
| publishDate | 2023-03-01 |
| publisher | Medical Journals Sweden |
| record_format | Article |
| series | Acta Dermato-Venereologica |
| spelling | doaj.art-b758d46ac7f24b7485018b7d85bb54182023-03-14T13:52:55ZengMedical Journals SwedenActa Dermato-Venereologica0001-55551651-20572023-03-0110310.2340/actadv.v103.4822How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi?Martin Gillstedt0Klara Segerholm1Ludwig Mannius2John Paoli3Sam Polesie4Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Dermatology and Venereology, Gothenburg, SwedenDepartment of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Dermatology and Venereology, Gothenburg, SwedenDepartment of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Dermatology and Venereology, Gothenburg, Sweden Abstract is missing (Short communication) https://medicaljournalssweden.se/actadv/article/view/4822DermoscopyDiagnosisMachine LearningMelanomaNeural Networks, ComputerSensitivity and Specificity |
| spellingShingle | Martin Gillstedt Klara Segerholm Ludwig Mannius John Paoli Sam Polesie How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? Acta Dermato-Venereologica Dermoscopy Diagnosis Machine Learning Melanoma Neural Networks, Computer Sensitivity and Specificity |
| title | How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? |
| title_full | How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? |
| title_fullStr | How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? |
| title_full_unstemmed | How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? |
| title_short | How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi? |
| title_sort | how does a convolutional neural network trained to differentiate between invasive melanoma and melanoma in situ generalize when assessing dysplastic naevi |
| topic | Dermoscopy Diagnosis Machine Learning Melanoma Neural Networks, Computer Sensitivity and Specificity |
| url | https://medicaljournalssweden.se/actadv/article/view/4822 |
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