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Table_1_Predicting melanoma survival and metastasis with in..:

Justin Couetil (14336568) ; Ziyu Liu (2566468) ; Kun Huang (136241)..
https://figshare.com/articles/dataset/Table_1_Predicting_melanoma_survival_and_metastasis_with_interpretable_histopathological_features_and_machine_learning_models_XLSX/21826854. , 2023

Link: https://doi.org/10.3389/fmed.2022.1029227.s006

RT Journal
T1 <Title>Table_1_Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models.XLSX</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21826854&Exemplar=1&LAN=DE
				
A1 Justin Couetil (14336568)
A1 Ziyu Liu (2566468)
A1 Kun Huang (136241)
A1 Jie Zhang (64655)
A1 Ahmed K. Alomari (14336571)
YR 2023
K1 Dermatology
K1 Emergency Medicine
K1 Gastroenterology and Hepatology
K1 Geriatrics and Gerontology
K1 Intensive Care
K1 Medical Genetics (excl. Cancer Genetics)
K1 Nephrology and Urology
K1 Nuclear Medicine
K1 Orthopaedics
K1 Otorhinolaryngology
K1 Pathology (excl. Oral Pathology)
K1 Radiology and Organ Imaging
K1 Foetal Development and Medicine
K1 Obstetrics and Gynaecology
K1 Family Care
K1 Primary Health Care
K1 Medical and Health Sciences not elsewhere classified
K1 computational pathology
K1 histopathology
K1 biomedical image processing
K1 melanoma
K1 neoplasm metastasis
K1 survival prognosis
K1 metastatic prognosis
JF https://figshare.com/articles/dataset/Table_1_Predicting_melanoma_survival_and_metastasis_with_interpretable_histopathological_features_and_machine_learning_models_XLSX/21826854
LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.1029227.s006
DO https://doi.org/10.3389/fmed.2022.1029227.s006
SF ELIB - SuUB Bremen

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