Ocular diseases are one of the main causes of irreversible disability in people in productive
age. In 2020, approximately 18% of the worldwide population was estimated to suffer of …

Compared to images of a more general nature, medical images possess a number of
specific peculiarities. This requires the development of specialized methods and software in …

The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Case based reasoning (CBR) with image retrieval can be used to implement a clinical
decision support system for supporting diagnosis of space occupying lesions. We present a …

Deep learning (DL) is a special type of machine learning that attains great potency and
flexibility by learning to represent input raw data as a nested hierarchy of essences and …

Retrieval of biomedical pictures is a significant side of computer based diagnosis. It helps
the radiologist and restorative authority to spot and analyze the particular disease. This …

A proliferação de modalidades de imagem médica digital, em hospitais, clínicas e outros
centros de diagnóstico, levou à criação de enormes repositórios de dados, frequentemente …

In this thesis, we performed research towards finding an efficient way to organize and
represent the data from the medical cases with the aim to improve their retrieval from the …

abstract Content-Based Image Retrieval (CBIR) systems have recently emerged as one of
the most promising and best image retrieval paradigms. To pacify the semantic gap …