The lack of comparability of evaluation results is one of the major obstacles of Research and
Development (R&D) in Medical Image Processing (MIP). The main reason for that is the …

Lung cancer is commonly diagnosed after metastatic spread, when therapies are rarely
curative, providing an impetus for continued research directed at exploring approaches for …

Lung cancer is the most lethal cancer in our society. Late diagnosis of this disease is a major
problem and so recent favorable reports with spiral computed tomography screening of high …

Rationale and Objectives The aim of this study was to develop a personalized training
system using the Lung Image Database Consortium (LIDC) and Image Database resource …

The development of computer-aided diagnosis (CAD) methods for the processing of CT lung
scans continues to become increasingly popular due to the potential of these algorithms to …

Imaging-based computer-aided detection (CAD) or computer-aided diagnosis (CADx)
technology is continuing to improve and it appears inevitable that it will merge into the …

The role of images in cancer research and clinical practice continues to expand. As a
consequence, new requirements and opportunities have emerged for archiving, sharing …

INFORMATION TO USERS Page 1 INFORMATION TO USERS This manuscript has been
reproduced from the microfilm master. UMI films the text directly from the original or copy …

Building effective content-based image retrieval (CBIR) systems involves the combination of
image creation, storage, security, transmission, analysis, evaluation feature extraction, and …

RESUMO SANTOS, M. Ambiente para avaliação de algoritmos de processamento de
imagens médicas. 2006. 168p. Tese (Doutorado)–Escola Politécnica, Universidade de São …