Value of public challenges for the development of pathology deep learning algorithms
The introduction of digital pathology is changing the practice of diagnostic anatomic pathology. Digital pathology offers numerous advantages over using a physical slide on a physical microscope, including more discriminative tools to render a more precise diagnostic report. The development of these...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
|
| Series: | Journal of Pathology Informatics |
| Subjects: | |
| Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=7;epage=7;aulast=Hartman |
| _version_ | 1811232353779974144 |
|---|---|
| author | Douglas Joseph Hartman Jeroen A. W. M. Van Der Laak Metin N Gurcan Liron Pantanowitz |
| author_facet | Douglas Joseph Hartman Jeroen A. W. M. Van Der Laak Metin N Gurcan Liron Pantanowitz |
| author_sort | Douglas Joseph Hartman |
| collection | DOAJ |
| description | The introduction of digital pathology is changing the practice of diagnostic anatomic pathology. Digital pathology offers numerous advantages over using a physical slide on a physical microscope, including more discriminative tools to render a more precise diagnostic report. The development of these tools is being facilitated by public challenges related to specific diagnostic tasks within anatomic pathology. To date, 24 public challenges related to pathology tasks have been published. This article discusses these public challenges and briefly reviews the underlying characteristics of public challenges and why they are helpful to the development of digital tools. |
| first_indexed | 2024-04-12T11:01:47Z |
| format | Article |
| id | doaj.art-e4cb212fbac14a179ad9435b99d03770 |
| institution | Directory Open Access Journal |
| issn | 2153-3539 2153-3539 |
| language | English |
| last_indexed | 2024-04-12T11:01:47Z |
| publishDate | 2020-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Pathology Informatics |
| spelling | doaj.art-e4cb212fbac14a179ad9435b99d037702022-12-22T03:35:57ZengElsevierJournal of Pathology Informatics2153-35392153-35392020-01-011117710.4103/jpi.jpi_64_19Value of public challenges for the development of pathology deep learning algorithmsDouglas Joseph HartmanJeroen A. W. M. Van Der LaakMetin N GurcanLiron PantanowitzThe introduction of digital pathology is changing the practice of diagnostic anatomic pathology. Digital pathology offers numerous advantages over using a physical slide on a physical microscope, including more discriminative tools to render a more precise diagnostic report. The development of these tools is being facilitated by public challenges related to specific diagnostic tasks within anatomic pathology. To date, 24 public challenges related to pathology tasks have been published. This article discusses these public challenges and briefly reviews the underlying characteristics of public challenges and why they are helpful to the development of digital tools.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=7;epage=7;aulast=Hartmanalgorithm developmentartificial intelligencedigital pathology algorithmspublic challenges |
| spellingShingle | Douglas Joseph Hartman Jeroen A. W. M. Van Der Laak Metin N Gurcan Liron Pantanowitz Value of public challenges for the development of pathology deep learning algorithms Journal of Pathology Informatics algorithm development artificial intelligence digital pathology algorithms public challenges |
| title | Value of public challenges for the development of pathology deep learning algorithms |
| title_full | Value of public challenges for the development of pathology deep learning algorithms |
| title_fullStr | Value of public challenges for the development of pathology deep learning algorithms |
| title_full_unstemmed | Value of public challenges for the development of pathology deep learning algorithms |
| title_short | Value of public challenges for the development of pathology deep learning algorithms |
| title_sort | value of public challenges for the development of pathology deep learning algorithms |
| topic | algorithm development artificial intelligence digital pathology algorithms public challenges |
| url | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=7;epage=7;aulast=Hartman |
| work_keys_str_mv | AT douglasjosephhartman valueofpublicchallengesforthedevelopmentofpathologydeeplearningalgorithms AT jeroenawmvanderlaak valueofpublicchallengesforthedevelopmentofpathologydeeplearningalgorithms AT metinngurcan valueofpublicchallengesforthedevelopmentofpathologydeeplearningalgorithms AT lironpantanowitz valueofpublicchallengesforthedevelopmentofpathologydeeplearningalgorithms |