Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina

Los diagnósticos incorrectos de Neoplasia Intraepitelial Cervical (NIC), impactan directamente en el aumento de la tasa de mortalidad por cáncer cervical. Específicamente, América Latina ha estado entre las regiones con mayores tasas de incidencia y mortalidad en los últimos años. Actualmente existe...

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Fecha de publicación:
2024
Institución:
Universidad del Rosario
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Repositorio EdocUR - U. Rosario
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spa
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https://repository.urosario.edu.co/handle/10336/42468
Palabra clave:
Aprendizaje automático
Aprendizaje profundo
Colposcopía
Displasia cervical
Neoplasia intraepitelial cervical
Transformadores de visión
Colposcopy
Cervical Dysplasia
Cervical Intraepithelial Neoplasia
Machine Learning
Deep Learning
Classification
Vision Transformers
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License
Attribution-ShareAlike 4.0 International
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dc.title.none.fl_str_mv Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
dc.title.TranslatedTitle.none.fl_str_mv Cervical Intraepithelial Neoplasia identification using machine learning
title Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
spellingShingle Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
Aprendizaje automático
Aprendizaje profundo
Colposcopía
Displasia cervical
Neoplasia intraepitelial cervical
Transformadores de visión
Colposcopy
Cervical Dysplasia
Cervical Intraepithelial Neoplasia
Machine Learning
Deep Learning
Classification
Vision Transformers
title_short Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
title_full Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
title_fullStr Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
title_full_unstemmed Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
title_sort Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina
dc.contributor.advisor.none.fl_str_mv Perdomo Charry, Oscar Julián
Orjuela Cañón, Álvaro David
dc.subject.none.fl_str_mv Aprendizaje automático
Aprendizaje profundo
Colposcopía
Displasia cervical
Neoplasia intraepitelial cervical
Transformadores de visión
topic Aprendizaje automático
Aprendizaje profundo
Colposcopía
Displasia cervical
Neoplasia intraepitelial cervical
Transformadores de visión
Colposcopy
Cervical Dysplasia
Cervical Intraepithelial Neoplasia
Machine Learning
Deep Learning
Classification
Vision Transformers
dc.subject.keyword.none.fl_str_mv Colposcopy
Cervical Dysplasia
Cervical Intraepithelial Neoplasia
Machine Learning
Deep Learning
Classification
Vision Transformers
description Los diagnósticos incorrectos de Neoplasia Intraepitelial Cervical (NIC), impactan directamente en el aumento de la tasa de mortalidad por cáncer cervical. Específicamente, América Latina ha estado entre las regiones con mayores tasas de incidencia y mortalidad en los últimos años. Actualmente existen investigaciones que se enfocan en su prevención teniendo como objetivo el diagnóstico temprano y seguimiento de su lesión predecesora, la Neoplasia Intraepitelial Cervical, también llamada Displasia Cervical. Por tanto, las metodologías basadas en visión computacional y aprendizaje de máquina son vitales, para el desarrollo de herramientas de asistencia diagnóstica temprana para el apoyo de especialistas. El objetivo de esta propuesta de trabajo de grado de maestría es la aplicación de arquitecturas de Aprendizaje Profundo y Transformadores de Visión para clasificar los grados de avance de la Neoplasia Intraepitelial Cervical usando imágenes de colposcopía obtenidas de la base de datos libre generada para el reto Intel & Mobile ODT Cervical Cancer Screening.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-04-23T13:08:29Z
dc.date.available.none.fl_str_mv 2024-04-23T13:08:29Z
dc.date.created.none.fl_str_mv 2024-03-20
dc.type.none.fl_str_mv bachelorThesis
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.document.none.fl_str_mv Trabajo de grado
dc.type.spa.none.fl_str_mv Trabajo de grado
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/42468
url https://repository.urosario.edu.co/handle/10336/42468
dc.language.iso.none.fl_str_mv spa
language spa
dc.rights.*.fl_str_mv Attribution-ShareAlike 4.0 International
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.none.fl_str_mv Abierto (Texto Completo)
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-sa/4.0/
rights_invalid_str_mv Attribution-ShareAlike 4.0 International
Abierto (Texto Completo)
http://creativecommons.org/licenses/by-sa/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.extent.none.fl_str_mv 45 pp
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad del Rosario
dc.publisher.department.spa.fl_str_mv Escuela de Medicina y Ciencias de la Salud
dc.publisher.program.spa.fl_str_mv Maestría en Ingeniería Biomédica
publisher.none.fl_str_mv Universidad del Rosario
institution Universidad del Rosario
dc.source.bibliographicCitation.none.fl_str_mv Shrestha, Aamod Dhoj; Neupane, Dinesh; Vedsted, Peter; Kallestrup, Per (2018) Cervical cancer prevalence, incidence and mortality in low and middle income countries: a systematic review. En: Asian Pacific journal of cancer prevention: APJCP. Vol. 19; No. 2; pp. 319
Arbyn, Marc; Weiderpass, Elisabete; Bruni, Laia; de Sanjosé, Silvia; Saraiya, Mona; Ferlay, Jacques; Bray, Freddie (2020) Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. En: The Lancet Global Health. Vol. 8; No. 2; pp. e191 - e203;
Cancer, World Health Organization: International Agency for Research on; Global Cancer Observatory. Consultado en: 2023/04/24/.
Público, Ministerio de Salud y Protección Social & Ministerio de Hacienda y Crédito; Cuenta de Alto Costo: Día Mundial del cáncer de cérvix 2022. Consultado en: 2023/04/24/.
Cancer, International Agency for Research on; Absolute numbers \emphColombia, incidence and mortality, females, age [20-74]. Consultado en: 2022/10/23/. Disponible en: https://gco.iarc.fr/overtime/en/dataviz/trends?populations=17000_21800_48400_18800&sexes=2&types=1&multiple_populations=1&cancers=16&years=2010_2018&age_end=14&age_start=4&group_populations=0&group_cancers=0&multiple_cancers=0.
Osorio-Castaño, Jhon H; Pérez-Villa, Marjorie; Montoya-Zapata, Claudia P; Cardona-Restrepo, Fernando A (2020) Características citológicas previas al diagnóstico de cáncer de cérvix en mujeres de Medellín (Colombia). En: Universidad y Salud. Vol. 22; No. 3; pp. 231 - 237;
Martinez, Alicia Azuaga; Malinverno, Manuela Undurraga; Manin, Emily; Petignat, Patrick; Abdulcadir, Jasmine (2021) A cross-sectional study on the prevalence of cervical dysplasia among women with female genital mutilation/cutting. En: Journal of Lower Genital Tract Disease. Vol. 25; No. 3; pp. 210 - 215;
Ruiz Arias, Jair Andrey; Solano Torres, Daniela María (2023) Análisis de las estrategias de prevención de cáncer de cuello uterino a partir de genotipos de alto riesgo del virus del papiloma humano en mujeres de Colombia.
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Javanbakht, Zahra; Kamravamanesh, Mastaneh; Rasulehvandi, Roumina; Heidary, Amirhossin; Haydari, Mehdi; Kazeminia, Mohsen (2023) Global Prevalence of Cervical Dysplasia: A Systematic Review and Meta-Analysis. En: Indian Journal of Gynecologic Oncology. Vol. 21; No. 3; pp. 62
Moscicki, Anna-Barbara; Schiffman, Mark; Franceschi, Silva (2020) The natural history of human papillomavirus infection in relation to cervical cancer. En: Human papillomavirus. pp. 149 - 160; Elsevier;
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spelling Perdomo Charry, Oscar Juliánd6ae6b29-7412-48ab-a525-d554ba2044fe-1Orjuela Cañón, Álvaro David01e734ed-bd0a-4a02-beb2-863079eef653-1Tenjo Castaño, Camilo AntonioMagíster en Ingeniería BiomédicaMagíster en Ingeniería BiomédicaMaestríaFull time1516b1cf-f2b7-419e-be00-b3b769eeabad-12024-04-23T13:08:29Z2024-04-23T13:08:29Z2024-03-20Los diagnósticos incorrectos de Neoplasia Intraepitelial Cervical (NIC), impactan directamente en el aumento de la tasa de mortalidad por cáncer cervical. Específicamente, América Latina ha estado entre las regiones con mayores tasas de incidencia y mortalidad en los últimos años. Actualmente existen investigaciones que se enfocan en su prevención teniendo como objetivo el diagnóstico temprano y seguimiento de su lesión predecesora, la Neoplasia Intraepitelial Cervical, también llamada Displasia Cervical. Por tanto, las metodologías basadas en visión computacional y aprendizaje de máquina son vitales, para el desarrollo de herramientas de asistencia diagnóstica temprana para el apoyo de especialistas. El objetivo de esta propuesta de trabajo de grado de maestría es la aplicación de arquitecturas de Aprendizaje Profundo y Transformadores de Visión para clasificar los grados de avance de la Neoplasia Intraepitelial Cervical usando imágenes de colposcopía obtenidas de la base de datos libre generada para el reto Intel & Mobile ODT Cervical Cancer Screening.Misdiagnosis of Cervical Intraepithelial Neoplasia (CIN) has a direct impact on the increase in cervical cancer mortality rates. Specifically, Latin America has been among the regions with the highest incidence and mortality rates in recent years. Currently there is research that focuses on its prevention aiming at early diagnosis and follow-up of its predecessor lesion, Cervical Intraepithelial Neoplasia, also called Cervical Dysplasia. Therefore, methodologies based on computer vision and machine learning are vital for the development of early diagnostic assistance tools for the support of specialists. The objective of this master's degree work proposal is the application of Deep Learning architectures and Vision Transformers to classify Cervical Intraepithelial Neoplasia progression grades using colposcopy images obtained from the free database generated for the Intel & Mobile ODT Cervical Cancer Screening challenge.45 ppapplication/pdfhttps://repository.urosario.edu.co/handle/10336/42468spaUniversidad del RosarioEscuela de Medicina y Ciencias de la SaludMaestría en Ingeniería BiomédicaAttribution-ShareAlike 4.0 InternationalAbierto (Texto Completo)EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma.http://creativecommons.org/licenses/by-sa/4.0/http://purl.org/coar/access_right/c_abf2Shrestha, Aamod Dhoj; Neupane, Dinesh; Vedsted, Peter; Kallestrup, Per (2018) Cervical cancer prevalence, incidence and mortality in low and middle income countries: a systematic review. En: Asian Pacific journal of cancer prevention: APJCP. Vol. 19; No. 2; pp. 319 Arbyn, Marc; Weiderpass, Elisabete; Bruni, Laia; de Sanjosé, Silvia; Saraiya, Mona; Ferlay, Jacques; Bray, Freddie (2020) Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. En: The Lancet Global Health. Vol. 8; No. 2; pp. e191 - e203;Cancer, World Health Organization: International Agency for Research on; Global Cancer Observatory. Consultado en: 2023/04/24/.Público, Ministerio de Salud y Protección Social & Ministerio de Hacienda y Crédito; Cuenta de Alto Costo: Día Mundial del cáncer de cérvix 2022. Consultado en: 2023/04/24/.Cancer, International Agency for Research on; Absolute numbers \emphColombia, incidence and mortality, females, age [20-74]. Consultado en: 2022/10/23/. Disponible en: https://gco.iarc.fr/overtime/en/dataviz/trends?populations=17000_21800_48400_18800&sexes=2&types=1&multiple_populations=1&cancers=16&years=2010_2018&age_end=14&age_start=4&group_populations=0&group_cancers=0&multiple_cancers=0.Osorio-Castaño, Jhon H; Pérez-Villa, Marjorie; Montoya-Zapata, Claudia P; Cardona-Restrepo, Fernando A (2020) Características citológicas previas al diagnóstico de cáncer de cérvix en mujeres de Medellín (Colombia). En: Universidad y Salud. Vol. 22; No. 3; pp. 231 - 237;Martinez, Alicia Azuaga; Malinverno, Manuela Undurraga; Manin, Emily; Petignat, Patrick; Abdulcadir, Jasmine (2021) A cross-sectional study on the prevalence of cervical dysplasia among women with female genital mutilation/cutting. En: Journal of Lower Genital Tract Disease. Vol. 25; No. 3; pp. 210 - 215;Ruiz Arias, Jair Andrey; Solano Torres, Daniela María (2023) Análisis de las estrategias de prevención de cáncer de cuello uterino a partir de genotipos de alto riesgo del virus del papiloma humano en mujeres de Colombia. organization, World Health (2014) Cervical Cancer Screening manual. Khieu, Michelle; Butler, Samantha L (2022) High Grade Squamous Intraepithelial Lesion. En: StatPearls [Internet].: StatPearls Publishing;Javanbakht, Zahra; Kamravamanesh, Mastaneh; Rasulehvandi, Roumina; Heidary, Amirhossin; Haydari, Mehdi; Kazeminia, Mohsen (2023) Global Prevalence of Cervical Dysplasia: A Systematic Review and Meta-Analysis. En: Indian Journal of Gynecologic Oncology. Vol. 21; No. 3; pp. 62 Moscicki, Anna-Barbara; Schiffman, Mark; Franceschi, Silva (2020) The natural history of human papillomavirus infection in relation to cervical cancer. En: Human papillomavirus. pp. 149 - 160; Elsevier;Kaggle, MobileODT, Intel (2017) Cervix Types Classification. 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