Segmentation of the distal femur in ultrasound images
Ultrasound is a widely used imaging technology that allows for fast diagnosis of a broad range of illnesses and injuries of the musculoskeletal system. However, interpreting ultrasound images remains a challenging task that requires expert knowledge and years of training for each exam. One crucial s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2020-0034 |
| _version_ | 1819140981617852416 |
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| author | Hohlmann Benjamin Glanz Jakob Radermacher Klaus |
| author_facet | Hohlmann Benjamin Glanz Jakob Radermacher Klaus |
| author_sort | Hohlmann Benjamin |
| collection | DOAJ |
| description | Ultrasound is a widely used imaging technology that allows for fast diagnosis of a broad range of illnesses and injuries of the musculoskeletal system. However, interpreting ultrasound images remains a challenging task that requires expert knowledge and years of training for each exam. One crucial step for the long-term goal of automatic diagnosis is pixel wise semantic segmentation. |
| first_indexed | 2024-12-22T11:47:12Z |
| format | Article |
| id | doaj.art-1eb935dfa2cd4f35acb35da2e65c33d1 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-12-22T11:47:12Z |
| publishDate | 2020-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-1eb935dfa2cd4f35acb35da2e65c33d12022-12-21T18:27:07ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042020-09-01611314210.1515/cdbme-2020-0034cdbme-2020-0034Segmentation of the distal femur in ultrasound imagesHohlmann Benjamin0Glanz Jakob1Radermacher Klaus2RWTH, Aachen, GermanyRWTH, Aachen, GermanyRWTH, Aachen, GermanyUltrasound is a widely used imaging technology that allows for fast diagnosis of a broad range of illnesses and injuries of the musculoskeletal system. However, interpreting ultrasound images remains a challenging task that requires expert knowledge and years of training for each exam. One crucial step for the long-term goal of automatic diagnosis is pixel wise semantic segmentation.https://doi.org/10.1515/cdbme-2020-0034cnnfemursegmentationultrasound |
| spellingShingle | Hohlmann Benjamin Glanz Jakob Radermacher Klaus Segmentation of the distal femur in ultrasound images Current Directions in Biomedical Engineering cnn femur segmentation ultrasound |
| title | Segmentation of the distal femur in ultrasound images |
| title_full | Segmentation of the distal femur in ultrasound images |
| title_fullStr | Segmentation of the distal femur in ultrasound images |
| title_full_unstemmed | Segmentation of the distal femur in ultrasound images |
| title_short | Segmentation of the distal femur in ultrasound images |
| title_sort | segmentation of the distal femur in ultrasound images |
| topic | cnn femur segmentation ultrasound |
| url | https://doi.org/10.1515/cdbme-2020-0034 |
| work_keys_str_mv | AT hohlmannbenjamin segmentationofthedistalfemurinultrasoundimages AT glanzjakob segmentationofthedistalfemurinultrasoundimages AT radermacherklaus segmentationofthedistalfemurinultrasoundimages |