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Histopathological image classification using deep learning
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11)
This thesis presents a study of digital pathology classification using and combining several techniques of machine learning and deep learning. Cancer is one of the most common causes of death around the world. One of the ...
Radiological and histopathological evaluation of experimentally-induced periapical lesion in rats
(Faculdade De Odontologia De Bauru - USP, 2011)
OBJECTIVE: This study evaluated experimentally-induced periapical bone loss sites using digital radiographic and histopathologic parameters. MATERIAL AND METHODS: Twenty-seven Wistar rats were submitted to coronal opening ...
Artificial intelligence algorithm for the histopathological diagnosis of skin cancer
(HCPA/FAMED/UFRGS, 2021)
Myxopapillary ependymoma of the posterior mediastinum
(2006-10-01)
A left paravertebral mass discovered incidentally on routine examination in a 39-year-old woman is described. Computerized tomography studies revealed a 7 × 6 cm, well circumscribed, noncalcified soft tissue mass with ...
Myxopapillary ependymoma of the posterior mediastinum
(2006-10-01)
A left paravertebral mass discovered incidentally on routine examination in a 39-year-old woman is described. Computerized tomography studies revealed a 7 × 6 cm, well circumscribed, noncalcified soft tissue mass with ...
Muscle magnetic resonance imaging and histopathology in ACTA1-related congenital nemaline myopathy
(John Wiley and Sons Inc., 2014)
© 2014 Wiley Periodicals, Inc.Introduction: Muscle biopsy is usually diagnostic in nemaline myopathy (NM), but some patients may show nonspecific findings, leading to pitfalls in diagnosis. Muscle MRI is a helpful complementary ...
Galactic swarm optimization with deep transfer learning driven colorectal cancer classification for image guided intervention
(Elsevier Ltd.United Kingdom, 2023)