Literature DB >> 36127440

Five ways deep learning has transformed image analysis.

Sandeep Ravindran.   

Abstract

Entities:  

Keywords:  Computational biology and bioinformatics; Imaging; Mathematics and computing; Microscopy

Mesh：

Year:  2022        PMID： 36127440     DOI： 10.1038/d41586-022-02964-6

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   69.504


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  7 in total

1.  Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.

Authors:  Yair Rivenson; Hongda Wang; Zhensong Wei; Kevin de Haan; Yibo Zhang; Yichen Wu; Harun Günaydın; Jonathan E Zuckerman; Thomas Chong; Anthony E Sisk; Lindsey M Westbrook; W Dean Wallace; Aydogan Ozcan
Journal:  Nat Biomed Eng       Date:  2019-03-04       Impact factor: 25.671

2.  Deep learning is combined with massive-scale citizen science to improve large-scale image classification.

Authors:  Devin P Sullivan; Casper F Winsnes; Lovisa Åkesson; Martin Hjelmare; Mikaela Wiking; Rutger Schutten; Linzi Campbell; Hjalti Leifsson; Scott Rhodes; Andie Nordgren; Kevin Smith; Bernard Revaz; Bergur Finnbogason; Attila Szantner; Emma Lundberg
Journal:  Nat Biotechnol       Date:  2018-08-20       Impact factor: 54.908

3.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Authors:  Alexander Mathis; Pranav Mamidanna; Kevin M Cury; Taiga Abe; Venkatesh N Murthy; Mackenzie Weygandt Mathis; Matthias Bethge
Journal:  Nat Neurosci       Date:  2018-08-20       Impact factor: 24.884

4.  Democratising deep learning for microscopy with ZeroCostDL4Mic.

Authors:  Lucas von Chamier; Romain F Laine; Johanna Jukkala; Christoph Spahn; Daniel Krentzel; Elias Nehme; Martina Lerche; Sara Hernández-Pérez; Pieta K Mattila; Eleni Karinou; Séamus Holden; Ahmet Can Solak; Alexander Krull; Tim-Oliver Buchholz; Martin L Jones; Loïc A Royer; Christophe Leterrier; Yoav Shechtman; Florian Jug; Mike Heilemann; Guillaume Jacquemet; Ricardo Henriques
Journal:  Nat Commun       Date:  2021-04-15       Impact factor: 14.919

5.  Multi-animal pose estimation, identification and tracking with DeepLabCut.

Authors:  Jessy Lauer; Mu Zhou; Shaokai Ye; William Menegas; Steffen Schneider; Tanmay Nath; Mohammed Mostafizur Rahman; Valentina Di Santo; Daniel Soberanes; Guoping Feng; Venkatesh N Murthy; George Lauder; Catherine Dulac; Mackenzie Weygandt Mathis; Alexander Mathis
Journal:  Nat Methods       Date:  2022-04-12       Impact factor: 28.547

6.  Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning.

Authors:  Noah F Greenwald; Geneva Miller; Erick Moen; Alex Kong; Adam Kagel; Thomas Dougherty; Christine Camacho Fullaway; Brianna J McIntosh; Ke Xuan Leow; Morgan Sarah Schwartz; Cole Pavelchek; Sunny Cui; Isabella Camplisson; Omer Bar-Tal; Jaiveer Singh; Mara Fong; Gautam Chaudhry; Zion Abraham; Jackson Moseley; Shiri Warshawsky; Erin Soon; Shirley Greenbaum; Tyler Risom; Travis Hollmann; Sean C Bendall; Leeat Keren; William Graf; Michael Angelo; David Van Valen
Journal:  Nat Biotechnol       Date:  2021-11-18       Impact factor: 68.164

7.  Analysis of the Human Protein Atlas Image Classification competition.

Authors:  Wei Ouyang; Casper F Winsnes; Martin Hjelmare; Anthony J Cesnik; Lovisa Åkesson; Hao Xu; Devin P Sullivan; Shubin Dai; Jun Lan; Park Jinmo; Shaikat M Galib; Christof Henkel; Kevin Hwang; Dmytro Poplavskiy; Bojan Tunguz; Russel D Wolfinger; Yinzheng Gu; Chuanpeng Li; Jinbin Xie; Dmitry Buslov; Sergei Fironov; Alexander Kiselev; Dmytro Panchenko; Xuan Cao; Runmin Wei; Yuanhao Wu; Xun Zhu; Kuan-Lun Tseng; Zhifeng Gao; Cheng Ju; Xiaohan Yi; Hongdong Zheng; Constantin Kappel; Emma Lundberg
Journal:  Nat Methods       Date:  2019-11-28       Impact factor: 28.547
  7 in total

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