Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/152020
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRuiz Martínez, Laura-
dc.date.accessioned2025-02-04T14:19:57Z-
dc.date.available2025-02-04T14:19:57Z-
dc.date.issued2025-01-
dc.identifier.urihttp://hdl.handle.net/10609/152020-
dc.description.abstractThis thesis investigates the application of vision-language models (VLMs) for automated morphological analysis of peripheral blood cells. While manual microscopic analysis remains the gold standard in hematological diagnosis, it is time-consuming and subject to inter-observer variability. This work aims to develop and evaluate fine-tuned VLMs capable of generating accurate morphological descriptions of blood cells from microscopic images.en
dc.format.mimetypeapplication/pdfca
dc.language.isoengca
dc.publisherUniversitat Oberta de Catalunya (UOC)ca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/-
dc.subjectVLM, LLM, AIen
dc.titleFine-tuning of Advanced Vision Language Models for Peripheral Blood Cell Image Analysisca
dc.typeinfo:eu-repo/semantics/masterThesisca
dc.contributor.directorAlférez, Santiago-
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

Files in This Item:
File SizeFormat 
Thesis_Msc_Bioinformatics_and_Biostatistics___Laura_Ruiz.pdf4,52 MBAdobe PDFView/Open
Share:
Export:
View statistics

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.