Literature DB >> 33121938

Automated Quantitative Analysis of Wound Histology Using Deep-Learning Neural Networks.

Jake D Jones1, Kyle P Quinn2.   

Abstract

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Year:  2020        PMID： 33121938      PMCID： PMC8068577          DOI： 10.1016/j.jid.2020.10.010

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN： 0022-202X            Impact factor:   8.551


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  10 in total

Review 1.  Aging and wound healing.

Authors:  Ankush Gosain; Luisa A DiPietro
Journal:  World J Surg       Date:  2004-02-17       Impact factor: 3.352

2.  Skin: histology and physiology of wound healing.

Authors:  Eric A Gantwerker; David B Hom
Journal:  Clin Plast Surg       Date:  2012-01       Impact factor: 2.017

3.  Human Wounds and Its Burden: An Updated Compendium of Estimates.

Authors:  Chandan K Sen
Journal:  Adv Wound Care (New Rochelle)       Date:  2019-02-13       Impact factor: 4.730

4.  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

5.  Chronic wound repair and healing in older adults: current status and future research.

Authors:  Lisa Gould; Peter Abadir; Harold Brem; Marissa Carter; Teresa Conner-Kerr; Jeff Davidson; Luisa DiPietro; Vincent Falanga; Caroline Fife; Sue Gardner; Elizabeth Grice; John Harmon; William R Hazzard; Kevin P High; Pamela Houghton; Nasreen Jacobson; Robert S Kirsner; Elizabeth J Kovacs; David Margolis; Frances McFarland Horne; May J Reed; Dennis H Sullivan; Stephen Thom; Marjana Tomic-Canic; Jeremy Walston; Jo Anne Whitney; John Williams; Susan Zieman; Kenneth Schmader
Journal:  J Am Geriatr Soc       Date:  2015-03-06       Impact factor: 5.562

6.  ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

Authors:  Abhijit Guha Roy; Sailesh Conjeti; Sri Phani Krishna Karri; Debdoot Sheet; Amin Katouzian; Christian Wachinger; Nassir Navab
Journal:  Biomed Opt Express       Date:  2017-07-13       Impact factor: 3.732

7.  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

Authors:  Hoo-Chang Shin; Holger R Roth; Mingchen Gao; Le Lu; Ziyue Xu; Isabella Nogues; Jianhua Yao; Daniel Mollura; Ronald M Summers
Journal:  IEEE Trans Med Imaging       Date:  2016-02-11       Impact factor: 10.048

8.  Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

Authors:  Kivanc Kose; Alican Bozkurt; Christi Alessi-Fox; Dana H Brooks; Jennifer G Dy; Milind Rajadhyaksha; Melissa Gill
Journal:  J Invest Dermatol       Date:  2019-12-12       Impact factor: 8.551

Review 9.  Wound repair and regeneration: mechanisms, signaling, and translation.

Authors:  Sabine A Eming; Paul Martin; Marjana Tomic-Canic
Journal:  Sci Transl Med       Date:  2014-12-03       Impact factor: 17.956

10.  In vivo multiphoton microscopy detects longitudinal metabolic changes associated with delayed skin wound healing.

Authors:  Jake D Jones; Hallie E Ramser; Alan E Woessner; Kyle P Quinn
Journal:  Commun Biol       Date:  2018-11-19
  10 in total

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