MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/177128 |
| Aporte de: |
| id |
I19-R120-10915-177128 |
|---|---|
| record_format |
dspace |
| spelling |
I19-R120-10915-1771282025-03-06T20:07:02Z http://sedici.unlp.edu.ar/handle/10915/177128 MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence Pérez, Ernesto Rafael Angelina, Emilio Gómez Chávez, José Leonardo Conti, Germán Torres, Ramón Peruchena, Nélida 2024-08 2024 2025-03-06T14:02:46Z en Ciencias Informáticas Artificial Intelligence Breast Cancer Diagnosis Mammographic Images Health Technology Radiology The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 102-105 |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Artificial Intelligence Breast Cancer Diagnosis Mammographic Images Health Technology Radiology |
| spellingShingle |
Ciencias Informáticas Artificial Intelligence Breast Cancer Diagnosis Mammographic Images Health Technology Radiology Pérez, Ernesto Rafael Angelina, Emilio Gómez Chávez, José Leonardo Conti, Germán Torres, Ramón Peruchena, Nélida MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| topic_facet |
Ciencias Informáticas Artificial Intelligence Breast Cancer Diagnosis Mammographic Images Health Technology Radiology |
| description |
The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Pérez, Ernesto Rafael Angelina, Emilio Gómez Chávez, José Leonardo Conti, Germán Torres, Ramón Peruchena, Nélida |
| author_facet |
Pérez, Ernesto Rafael Angelina, Emilio Gómez Chávez, José Leonardo Conti, Germán Torres, Ramón Peruchena, Nélida |
| author_sort |
Pérez, Ernesto Rafael |
| title |
MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| title_short |
MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| title_full |
MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| title_fullStr |
MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| title_full_unstemmed |
MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence |
| title_sort |
mammoinsight: innovating early breast cancer detection through artificial intelligence |
| publishDate |
2024 |
| url |
http://sedici.unlp.edu.ar/handle/10915/177128 |
| work_keys_str_mv |
AT perezernestorafael mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence AT angelinaemilio mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence AT gomezchavezjoseleonardo mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence AT contigerman mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence AT torresramon mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence AT peruchenanelida mammoinsightinnovatingearlybreastcancerdetectionthroughartificialintelligence |
| _version_ |
1847925339525742592 |