most citedDetection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2026

Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature

Pablo Ramirez Amador

Lung cancer is one of the leading causes of death worldwide, and its early diagnosis is crucial to improving patients prognosis and quality of life. However, the process of interpr…

cs.AI2026

Specification-delta-driven data governance: an empirical study of the «spec-delta» as the unit of change in lakehouse data platforms

Pablo Ramirez Amador

Spec Driven Development SDD has consolidated the idea that the specification rather than the code should be the primary artefact governing AI assisted work. Tools such as GitHub Sp…

eess.IV2024★ 1 cited

Detection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers

Pablo Ramirez Amador, Dinarle Milagro Ortega, Arnold Cesarano

Pulmonary diseases are a public health problem that requires accurate and fast diagnostic techniques. In this paper, a method based on convolutional neural networks (CNN), Data Aug…