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Misclassified samples by the surgeons were divided into two rows, with the first row indicating negative class and the second-row indicating positive class.

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اقرأ أكثر حفظ في قائمتي

المؤلفون: Laith Alzubaidi; Asma Salhi; Mohammed A.Fadhel; Jinshuai Bai; Freek Hollman; Kristine Italia; Roberto Pareyon; A. S. Albahri; Chun Ouyang; Jose Santamaría; Kenneth Cutbush; Ashish Gupta; Amin Abbosh; Yuantong Gu
الموضوع:
Space Science; Biological Sciences not elsewhere classified; Information Systems not elsewhere classified; various medical applications; reduce error rates; mitigate imagenet mismatch; locally interpretable model; causing intense pain; various body parts; musculoskeletal conditions affect; domain transfer learning; ray images due; feature fusion combines; excellent accuracy rate; diagnosing musculoskeletal issues; detecting shoulder abnormalities; detect shoulder abnormalities; 2 %; f1; seven dl models; div >< p; proposed framework achieved; ray images; feature fusion; two parts; trained models; sub ><; deep learning; conditions lead; shoulder x
نوع التسجيلة:
still image
اللغة:
unknown

معلومة اضافية
- الموضوع:
  2024
- Collection:
  Smithsonian Institution: Figshare
- نبذة مختصرة :
  Misclassified samples by the surgeons were divided into two rows, with the first row indicating negative class and the second-row indicating positive class.
- Relation:
  https://figshare.com/articles/figure/Misclassified_samples_by_the_surgeons_were_divided_into_two_rows_with_the_first_row_indicating_negative_class_and_the_second-row_indicating_positive_class_/25384403
- الرقم المعرف:
  10.1371/journal.pone.0299545.g022
- الدخول الالكتروني :
  https://doi.org/10.1371/journal.pone.0299545.g022
- Rights:
  CC BY 4.0
- الرقم المعرف:
  edsbas.FDCBE921

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