نتایج جستجو برای: ovarian lesions texture analysis
تعداد نتایج: 3064747 فیلتر نتایج به سال:
The current study investigates whether texture features extracted from lesion kinetics feature maps can be used for breast cancer diagnosis. Fifty five women with 57 breast lesions (27 benign, 30 malignant) were subjected to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) on 1.5T system. A linear-slope model was fitted pixel-wise to a representative lesion slice time series and f...
PURPOSE Mesothelin (MSLN) is frequently overexpressed in pancreatic and ovarian cancers, making it a potential drug target. We performed an (89)Zr-PET imaging study with MMOT0530A, a MSLN antibody, in conjunction with a phase I study with the antibody-drug conjugate DMOT4039A, containing MMOT0530A bound to MMAE. The aim was to study antibody tumor uptake, whole-body distribution, and relation b...
Ovarian cancer represents the most lethal of the gynecological neoplasms. The molecular and genetic events associated with early ovarian oncogenesis are still largely unknown, thus contributing to the lack of reliable biomarkers for disease detection. Since the majority of ovarian tumors are diagnosed at an advanced stage, the availability of early ovarian cancer tissue samples for molecular an...
Ovarian cancer is one of the most common cancers among women, accounting for more deaths than any other gynecological diseases. However, the survival rate for ovarian cancer has not essentially improved over the past thirty years. Thus, to understand the molecular mechanism of ovarian tumorigenesis is important for optimizing the early diagnosis and treating this disease. In this study, we obse...
The aim of this study is to provide an efficient way to segment the skin cancer images. A novel method is proposed that combines colour and texture for the segmentation of skin lesions from unaffected skin region in an image. The distributions of colour and texture features provide a good discrimination of skin lesions. The evaluation of the proposed method was based on the comparison with the ...
Fractal measures like fractal dimension and lacunarity are widely-used for the analysis of textures, or any images with self-similar content. However, all the existing approaches are defined for one dimensional signals or binary images with extension to grey-scale images. We propose a colour approach, derived from the existing probabilistic algorithm for the computation of the fractal dimension...
Aims: This study aimed to compare the clinicopathological features, incidence, and prognosis between type II ovarian carcinoma (OC) and fallopian tube carcinoma (FTC) in Chinese women and to analyze the origin of high-grade serous carcinoma (HGSC). Methods: Three hundreds and seventy-four OC cases and 45 FTC cases were retrospectively studied with histomorphology, tissue microarray, and immunoh...
Background and purpose : Pelvic mass with ascitis and elevated serum ÇÂ-125 level is suggestive of an advanced ovarian malignancy. Peritonitis is an uncommon event. Which can have the same symptoms, therefore this phenomenon must be considered in case of differential diagnosis of ovarian carcinoma. Âim of reporting this interesting and rare case, is to make attention of colleages to this dif...
This chapter reviews and discusses various aspects of texture analysis. The concentration is on the various methods of extracting textural features from images. The geometric, random field, fractal, and signal processing models of texture are presented. The major classes of texture processing problems such as segmentation, classification, and shape from texture are discussed. The possible appli...
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