Literature DB >> 32317799

Deep learning takes on tumours.

Esther Landhuis.   

Abstract

Entities:  

Keywords:  Cancer; Computational biology and bioinformatics; Computer science; Microscopy

Mesh:

Year:  2020        PMID: 32317799     DOI: 10.1038/d41586-020-01128-8

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


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  5 in total

1.  Multidimensional drug profiling by automated microscopy.

Authors:  Zachary E Perlman; Michael D Slack; Yan Feng; Timothy J Mitchison; Lani F Wu; Steven J Altschuler
Journal:  Science       Date:  2004-11-12       Impact factor: 47.728

2.  Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment.

Authors:  Vebjorn Ljosa; Peter D Caie; Rob Ter Horst; Katherine L Sokolnicki; Emma L Jenkins; Sandeep Daya; Mark E Roberts; Thouis R Jones; Shantanu Singh; Auguste Genovesio; Paul A Clemons; Neil O Carragher; Anne E Carpenter
Journal:  J Biomol Screen       Date:  2013-09-17

3.  Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell Lines.

Authors:  Scott J Warchal; John C Dawson; Neil O Carragher
Journal:  SLAS Discov       Date:  2019-01-29       Impact factor: 3.341

4.  Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data.

Authors:  Carlos Torroja; Fatima Sanchez-Cabo
Journal:  Front Genet       Date:  2019-10-25       Impact factor: 4.599

5.  High content phenotypic screening identifies serotonin receptor modulators with selective activity upon breast cancer cell cycle and cytokine signaling pathways.

Authors:  Scott J Warchal; John C Dawson; Emelie Shepherd; Alison F Munro; Rebecca E Hughes; Ashraff Makda; Neil O Carragher
Journal:  Bioorg Med Chem       Date:  2019-11-09       Impact factor: 3.641

  5 in total
  4 in total

Review 1.  [EMPAIA-ecosystem for pathology diagnostics with AI assistance].

Authors:  Peter Hufnagl
Journal:  Pathologe       Date:  2021-12-17       Impact factor: 1.011

Review 2.  Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging.

Authors:  Reem Ahmed Bahathiq; Haneen Banjar; Ahmed K Bamaga; Salma Kammoun Jarraya
Journal:  Front Neuroinform       Date:  2022-09-28       Impact factor: 3.739

3.  Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images.

Authors:  Georg Steinbuss; Mark Kriegsmann; Christiane Zgorzelski; Alexander Brobeil; Benjamin Goeppert; Sascha Dietrich; Gunhild Mechtersheimer; Katharina Kriegsmann
Journal:  Cancers (Basel)       Date:  2021-05-17       Impact factor: 6.639

4.  Cohort Profile: Chinese Cervical Cancer Clinical Study.

Authors:  Xi-Ru Zhang; Zhi-Qiang Li; Li-Xin Sun; Ping Liu; Zhi-Hao Li; Peng-Fei Li; Hong-Wei Zhao; Bi-Liang Chen; Mei Ji; Li Wang; Shan Kang; Jing-He Lang; Chen Mao; Chun-Lin Chen
Journal:  Front Oncol       Date:  2021-06-18       Impact factor: 6.244

  4 in total

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