Background: Neurofollicular hamartoma (NFH) is characterized histopathologically by fascicles of spindle cells that laterally delimited by hyperplastic folliculosebaceous units. It usually appears on face, near the nose or nasolabial fold. It does not manifest true neural differentiation and recently the term spindle cell predominant trichodiscoma (SCPT) has been used instead. Case Presentatio...

The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each image is pro- cessed similarly. Here in this study, we propose the power of shape analysis, in conjunction with neural networks for reducing white n...

Multi-subtype tumor diagnosis based on gene expression profiles is promising in clinical medicine application. Therefore, a great deal of research on tumor classification based on gene expression profiles has been developed, where various machine learning approaches were applied to constructing the best tumor classification model to improve the classification performance as much as possible. To...

While it has been established that a number of microenvironment components can affect the likelihood of metastasis, the link between microenvironment and tumor cell phenotypes is poorly understood. Here we have examined microenvironment control over two different tumor cell motility phenotypes required for metastasis. By high-resolution multiphoton microscopy of mammary carcinoma in mice, we de...

This research paper proposes an intelligent classification technique to identify tumor. The manual interpretation of tumor based on visual examination by Radiologist/physician may lead to missing diagnosis when a large number of data are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classification of medical image after ...

Classification of tumor subtype is a critical issue in tumor diagnosis and treatment. A correct identification of tumor subtype enables appropriate treatment and leads to faster recovery of the patient. Conventional methods of tumor sub-classification largely depend on the physician’s knowledge and experience. The main intension of proposed method is to automate the customized approach of tumor...

Pathologists often deal with high complexity and sometimes disagreement over Osteosarcoma tumor classification due to cellular heterogeneity in the dataset. Segmentation and classification of histology tissue in H&E stained tumor image datasets is challenging due to intra-class variations and inter-class similarity, crowded context, and noisy data. In recent years, deep learning approaches have...

In the present study, we described cyto-histopathological features and immunophenotyping of the large B-cell lymphoma in an 8-year-old mixed breed dog with applying the World Health Organization (WHO) system of classification of canine lymphomas. In fine-needle aspiration (FNA), lymph nodes were involved by neoplastic cells of intermediate to large size with deep blue cytoplasm; consist of cent...

conclusions pc-rplnd is one the major operations in the field of urology, which is associated with significant adjunctive surgeries. in appropriate cases, pc-rplnd was associated with good cancer specific survival in tertiary oncology center. results twenty-one patients underwent bilateral pc-rplnd. mean age was 26.3 years (ranged 16 - 47). mean size of retroperitoneal mass after chemotherapy w...

purpose : to introduce a novel classification system for the extent of choroid invasion and to analyze the incidence of histopathologic risk factors (hrfs) in the patients with retinoblastoma in china methods : the clinical data of 104 enucleated eyes diagnosed with retinoblastoma were retrospectively reviewed, and the pathological re-examination of the enucleated eyes was conducted. results : ...