Carlos López

Orcid: 0000-0003-1248-3065

Affiliations:
  • Hospital de Tortosa Verge de la Cinta, Tarragona, Spain


According to our database1, Carlos López authored at least 10 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

2020
Clustered nuclei splitting based on recurrent distance transform in digital pathology images.
EURASIP J. Image Video Process., 2020

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2017
Automatic quantification of IHC stain in breast TMA using colour analysis.
Comput. Medical Imaging Graph., 2017

The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section.
Biomed. Signal Process. Control., 2017

2015
Improvements to Segmentation Method of Stained Lymphoma Tissue Section Images.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

2010
The Method of Immunohistochemical Images Standardization.
Proceedings of the Image Processing and Communications Challenges 2, 2010

2008
Case Report: Effects of Image Compression on Automatic Count of Immunohistochemically Stained Nuclei in Digital Images.
J. Am. Medical Informatics Assoc., 2008


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