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Publication Year: 2021

11 to 20 of 13,067 Results

Aqueous glucose measured by NIR spectroscopy Aug 17, 2022 - NTNU – Norwegian University of Science and Technology Fuglerud, Silje Skeide, 2021, "Aqueous glucose measured by NIR spectroscopy", https://doi.org/10.18710/NSHFAK, DataverseNO, V2 Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied...
00_Readme.txt Aug 17, 2022 - Aqueous glucose measured by NIR spectroscopy Plain Text - 3.1 KB - MD5: 202f7cc7c9a528d65a75aceaa6222790
UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Jun 2, 2022 - UiT The Arctic University of Norway Kilvaer, Thomas K, 2021, "UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"", https://doi.org/10.18710/4YN9SZ, DataverseNO, V2 This dataset can be used to replicate the findings in "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images". The motivation for this paper is that increased levels of tumor infiltrating lymphocytes (TILs) indicate favorable outco...
0_README.txt Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Plain Text - 19.9 KB - MD5: 321381ea19852b69daecc042fa9526ef
manual_validation.tar.0000 Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Unknown - 1.9 GB - MD5: b1694ccd6eeb408182170dc065f2672a
manual_validation.tar.0001 Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Unknown - 1.9 GB - MD5: e74f5a2f7fc8a8e39a4b04d1e5c28fc9
manual_validation.tar.0002 Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Unknown - 849.8 MB - MD5: 49a781e0c1a8a525bbf1bf76fc7cf229
models.tar Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" TAR Archive - 1.8 GB - MD5: 825b003ced6f2ba8c35a6a5a247b2bc7
patient_dataset.tar.0000 Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Unknown - 4.9 GB - MD5: 8d932796e882285558a6879b68ee14e6
patient_dataset.tar.0001 Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images" Unknown - 4.9 GB - MD5: bdfbf3ca9c5113fb6bec5a88cdd30968

Aqueous glucose measured by NIR spectroscopy

Aug 17, 2022 - NTNU – Norwegian University of Science and Technology

Fuglerud, Silje Skeide, 2021, "Aqueous glucose measured by NIR spectroscopy", https://doi.org/10.18710/NSHFAK, DataverseNO, V2

Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied...

00_Readme.txt

Aug 17, 2022 - Aqueous glucose measured by NIR spectroscopy

Plain Text - 3.1 KB -

UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"

Jun 2, 2022 - UiT The Arctic University of Norway

Kilvaer, Thomas K, 2021, "UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"", https://doi.org/10.18710/4YN9SZ, DataverseNO, V2

This dataset can be used to replicate the findings in "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images". The motivation for this paper is that increased levels of tumor infiltrating lymphocytes (TILs) indicate favorable outco...

0_README.txt

Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"

Plain Text - 19.9 KB -

manual_validation.tar.0000

Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"

Unknown - 1.9 GB -

manual_validation.tar.0001

Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"

Unknown - 1.9 GB -

manual_validation.tar.0002

Jun 2, 2022 - UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images"

Unknown - 849.8 MB -