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Granulomatous Mastitis: Imaging Findings with Histopathologic Correlation
Clinical Radiology, 2002The purpose of this study is to evaluate the mammographic and ultrasonographic characteristics of granulomatous mastitis and to correlate the imaging features with the histologic findings.15 patients with diagnosis of idiopathic granulomatous mastitis were examined with mammography and ultrasonography. The clinical, pathologic and imaging features were
Memis, A +5 more
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Multimegapixel images in histopathology.
Analytical and quantitative cytology and histology, 2001To describe methods and procedures for the assembly of very large scale microscopic image arrays.Microscopic imagery was recorded on different video microphotometers, equipped either with a three-chip CCD Sony MD 760 (Park-ridge, New Jersey, U.S.A.), a COHU vidicon (San Diego, California, U.S.A.) or a PROGRES camera (JenOptik, Jena, Germany), yielding ...
D, Thompson +6 more
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Identifying Cells in Histopathological Images
2010We present an image analysis pipeline for identifying cells in histopathology images of cancer. The analysis starts with segmentation using multi-phase level sets, which is insensitive to initialization and enables automatic detection of arbitrary objects. Morphological operations are used to remove small spots in the segmented images. The target cells
Jierong Cheng +2 more
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Histopathological Basis of Muscle Imaging
1996The skeletal musculature, consisting of 434 single muscles, comprises approximately 25% to 35% of the total body weight in women and 40% to 50% in men,1 thus being the largest organ of the body. Every muscle has at least one belly. A few muscles, for example, the rectus abdominis, consist of more than one belly, separated by tendinous intersections ...
Carl D. Reimers +2 more
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Breast Cancer Histopathological Image Classification
2020Breast cancer is one of the most common types of cancer in women worldwide, after lung cancer. Early diagnosis and classification of cancer can positively affect the healing process of patients. In this study, deep learning approaches for cancer detection in chest histopathological images are presented.
ERDEM, Ebru, AYDİN, Tolga
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Image Processing in Histopathology
Methods of Information in Medicine, 1982openaire +2 more sources