نتایج جستجو برای: ovarian lesions texture analysis
تعداد نتایج: 3064747 فیلتر نتایج به سال:
Fractal and texture analysis are computer techniques which can discriminate between the shapes of benign and malignant tumors. The goal of present paper is to describe a method and an algorithm for automatic detection of malignancy of skin lesions which is based on both local fractal features (local fractal dimension) and texture features which derives from the medium co-occurrence matrices (co...
This paper proposes a rotational invariant texture feature based on the roughness property of the image for psoriasis image analysis. In this work, we have applied this feature for image classification and segmentation. The fuzzy concept is employed to overcome the imprecision of roughness. Since the psoriasis lesion is modeled by a rough surface, the feature is extended for calculating the Pso...
Computer-aided systems in mammography focus on detection and characterization/diagnosis of lesions (masses and microcalcifications). Characterization of microcalcifications (MCs) is challenged by the presence of dense breast parenchyma, resulting in low specificity values and thus in unnecessary biopsies. Automated characterization of MCs is mainly based on morphology analysis; the current stud...
The clinical and pathological records of 44 domestic, female rabbits with an age ranging from 6-124 months (median age: 63.5 month) were assessed retrospectively for ovarian lesions. Included were all rabbits that underwent an ovariohysterectomy with a subsequent pathological examination of the genital tract between March 1997 and June 2016. Pathological examination revealed ovarian lesions in ...
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...
Image cytometric study of pathological specimens or cell lines has suggested that epigenetic mechanisms are likely to play a major role in determining chromatin patterns evaluable through nuclear texture analysis. We previously reported that nuclear textural changes observed in the OV1-VCR etoposide-resistant ovarian carcinoma cell line were associated with an increased acetylated histone H4 le...
Thoracoscopy is a useful method for diagnosing plural lesions. We diagnosed 3 cases of ovarian adenocarcinoma by thoracoscopy. All patients were middle-aged and elderly women. Initial examination revealed intrathoracic lesions including pleural effusion, but intraperitoneal lesions were unclear. In all cases, adequate samples of tumor cells obtained using thoracoscopy were used in the identific...
While the paradigm that malignancies arise through a stepwise progression from benign precursors has been established for many malignancies, it remains unclear if this holds true for ovarian cancer. Serous ovarian carcinomas are the predominant clinically important subtype and it has been widely believed that some or all of these arise from precursors derived from the ovarian surface epithelium...
Reports have suggested that tumor textures presented on T2-weighted images correlate with the genetic status of glioma. Therefore, development of an image analyzing framework that is capable of objective and high throughput image texture analysis for large scale image data collection is needed. The current study aimed to address the development of such a framework by introducing two novel param...
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