Histopathological classification of cross-sectional image negative hyperaldosteronism

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robust Segmentation and Classification of Histopathological Image

Cancer is an uncontrolled cell growth caused due to abnormal cell division in any region of the body. When cancer is diagnosed at an early stage the treatment is simpler and effective. There are different types of cancer and each is classified by the type of cell that is initially affected. In this paper, early diagnosis of colon cancer is considered. In the proposed method, segmentation of tis...

متن کامل

A cross-sectional study of clinical, histopathological and direct immmunofluorescence diagnosis in autoimmune bullous diseases

Background: Immunobullous diseases are morphologically heterogeneous and the differentiation between various subtypes is essential for proper treatment and prognosis. The aim of our study was to analyze and correlate clinical, histopathological, and immunofluorescence findings in autoimmune bullous diseases.Method: A c...

متن کامل

Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

BACKGROUND Smear negative pulmonary tuberculosis (SNPT) accounts for 30% of pulmonary tuberculosis cases reported yearly in Brazil. This study aimed to develop a prediction model for SNPT for outpatients in areas with scarce resources. METHODS The study enrolled 551 patients with clinical-radiological suspicion of SNPT, in Rio de Janeiro, Brazil. The original data was divided into two equival...

متن کامل

Multiscale High-Level Feature Fusion for Histopathological Image Classification

Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It can gain better representation for the histopathological image than only using coding network. The main process is that training a deep convolutiona...

متن کامل

Cross-domain CNN for Hyperspectral Image Classification

In this paper, we address the dataset scarcity issue with the hyperspectral image classification. As only a few thousands of pixels are available for training, it is difficult to effectively learn high-capacity Convolutional Neural Networks (CNNs). To cope with this problem, we propose a novel cross-domain CNN containing the shared parameters which can co-learn across multiple hyperspectral dat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The Journal of Clinical Endocrinology & Metabolism

سال: 2016

ISSN: 0021-972X,1945-7197

DOI: 10.1210/jc.2016-2986