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Biomedical subjects

B Caputo

Publications and source records attributed to B Caputo.

5 recordsLinked to original sources
PubMed2002

A new kernel method for microcalcification detection: Spin Glass-Markov Random Fields.

Mammography associated with clinical breast examination is the only effective method for mass breast screening. Microcalcifications are one of the primary signs for early detection of breast cancer. In this paper we propose a new kernel method for classification of difficult-to-diagnose regions in mammographic images. It consists of a novel class of Markov Random Fields, using techniques developed within the context of statistical mechanics. This method is used for the classification of positive Region of Interest (ROI's) containing clustered microcalcifications and negative ROI's containing normal tissue. The obtained results show that the proposed approach can be successfully employed for detection of microcalcifications

Breast Neoplasms↗
PubMed2002

Toward a quantitative analysis of skin lesion images.

Melanoma is the most dangerous form of skin cancer. Skin cancers, and particularly melanomas, can be easily cured if detected early. The regularity of the pigment network structure is a significant sign for early diagnosis of melanoma. We present here a quantitative analysis of the morphology of the pigment network structure. Our method is based on the extraction of the pigment network structure using digital image processing techniques. Once the network is extracted, it is possible to derive statistical indicators relative to its regularity or irregularity. We report experiments on a database of 14 images, showing the effectiveness of our method.

Diagnostic Imaging↗
PubMed2000

Analysis of periapical lesion using statistical textural features.

In this work we present a quantitative study on different regions of periapical images with a series of textural features, extracted using cooccurrence matrices; those features are used for a pattern recognition analysis by means of an artificial neural network. The obtained results show that it is possible to recognize in an objective way changes in bone pattern.

Humans↗
PubMed1982

[Circulating immune complexes in a population of subjects seropositive for rheumatoid factor].

The level of immune complexes has been detected with the C1q binding test in 179 subjects positive by Latex agglutination test (titre greater than 1/20). The average of C1q binding was 5.36%, significantly higher than in 30 normal blood donors. A positive correlation was observed between the percent of C1q binding and, respectively, the titre of the latex test and the erythrocyte sedimentation rate. Of the 36 patients with rheumatoid arthritis, 16 (45.7%) showed an high level of C1q binding activity (greater than 5%), as well as 4 of the 8 patients with chronic hepatitis (50%) and 11 of the 31 patients with infectious diseases. No immune complexes were detected among the 11 healthy latex positive subjects.

Antigen-Antibody Complex↗