Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684648/?tool=EBI |
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| _version_ | 1841560455786528768 |
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| author | Ayumi Ohya Tsutomu Miyamoto Fumihito Ichinohe Hisanori Kobara Yasunari Fujinaga Tanri Shiozawa |
| author_facet | Ayumi Ohya Tsutomu Miyamoto Fumihito Ichinohe Hisanori Kobara Yasunari Fujinaga Tanri Shiozawa |
| author_sort | Ayumi Ohya |
| collection | DOAJ |
| format | Article |
| id | doaj-art-003553f685234e5cb31548ea8a8ea363 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-003553f685234e5cb31548ea8a8ea3632025-01-04T05:30:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligenceAyumi OhyaTsutomu MiyamotoFumihito IchinoheHisanori KobaraYasunari FujinagaTanri Shiozawahttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684648/?tool=EBI |
| spellingShingle | Ayumi Ohya Tsutomu Miyamoto Fumihito Ichinohe Hisanori Kobara Yasunari Fujinaga Tanri Shiozawa Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence PLoS ONE |
| title | Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence |
| title_full | Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence |
| title_fullStr | Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence |
| title_full_unstemmed | Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence |
| title_short | Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence |
| title_sort | problems of magnetic resonance diagnosis for gastric type mucin positive cervical lesions of the uterus and its solutions using artificial intelligence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684648/?tool=EBI |
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