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Mashup Score: 1
Please fill out the form below to confirm your attendance to our Annual General Meeting in Toronto or if you’ll be joining us virtually!
Source: docs.google.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - 2 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To present results from a literature survey on practices in DL segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a 4-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, o
Source: pubs.rsna.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - 3 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To present results from a literature survey on practices in DL segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a 4-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, o
Source: pubs.rsna.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - 4 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To present results from a literature survey on practices in DL segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a 4-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, o
Source: pubs.rsna.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - 4 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To present results from a literature survey on practices in DL segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a 4-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, o
Source: pubs.rsna.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - 5 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To present results from a literature survey on practices in DL segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a 4-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, o
Source: pubs.rsna.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 1
Welcome! You are invited to join a meeting: UCC Cancer Seminar Series. After registering, you will receive a confirmation email about joining the meeting.
Source: ZoomCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 2Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence - 1 year(s) ago
Abstract. Profound advances in computational methods, including artificial intelligence (AI), present the opportunity to use the exponentially growing volume and complexity of available cancer measurements toward data-driven personalized care. While exciting, this opportunity has highlighted the disconnect between the promise of compute and the supply of high-quality data. The current paradigm of…
Categories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 2Caroline Chung on LinkedIn: Mistakes and failures are most valuable when shared and reflected upon to… - 1 year(s) ago
Mistakes and failures are most valuable when shared and reflected upon to learn and improve to avoid for next time and perhaps inspire new and better…
Source: www.linkedin.comCategories: Latest Headlines, Oncologists1Tweet
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Mashup Score: 1BIR Publications - 1 year(s) ago
Objectives Immediate clip migration following breast biopsy is not a rare condition but its impact on future cancer management can be profound. However, there is limited knowledge on what causes the phenomenon and how to prevent it. Methods A systematic search was performed to identify articles discussing factors associated with clip migration, and a meta-analysis for each risk factor was…
Source: The British Journal of RadiologyCategories: Hem/Oncs, Latest HeadlinesTweet
RT @maguy_farhat: Registration Link: https://t.co/cbU7tD754P @women_in_cancer @jamesmaskalyk #Leadership #Mentorship #Networking #Cancer…