نتایج جستجو برای: automated cancer diagnosis
تعداد نتایج: 1435728 فیلتر نتایج به سال:
Bladder cancer is among the ten most common cancers and the ten main causes of cancer-related deaths in the world. Currently, bladder tumors are diagnosed and followed up using a combination of cystoscopy and cytology. In addition, bladder cancer often recurs and can progress if not closely monitored after initial treatment. Constant monitoring of the patient with cystoscopy, which is an invasi...
salivary diagnostics has fascinated many researcheres and has been tested as a valuable tool in the diagnosis of many systemic conditions and for drug monitoring. advances in the field of molecular biology, salivary genomics and proteomics have led to the discovery of new molecular markers for oral cancer diagnosis, therapeutics and prognosis. oral cancer is a potentially fatal disease and the ...
Background and Objective: Breast cancer is the most common cancer and the major cause of cancer death among women. The survival rate for breast cancer indicates the percentage of people that survive the disease for a specified period of time after diagnosis. The aim of this study was analyzing the survival rate of patients with breast cancer in East Azarbaijan province. Materials and Methods...
Pulmonary cancer is one of the most dangerous cancers with a high incidence and mortality. An early accurate diagnosis treatment pulmonary can observably increase survival rates, where computer-aided systems largely improve efficiency radiologists. In this article, we propose deep automated lung nodule system based on three-dimensional convolutional neural network (3D-CNN) support vector machin...
This thesis reports several methods for automated analysis and interpretation of bone X-ray images. Automatic segmentation of the bone part in a digital X-ray image is a challenging problem because of its low contrast against the surrounding flesh. In this thesis, we propose a fully automated X-ray image segmentation technique, which is based on a variant of entropy measure of the image. We hav...
Classification of Breast Cancer Tumors Using Mammography Images Processing Based on Machine Learning

 Abstract— Using intelligent methods to identify and classify a variety of diseases, in particular cancer, has gained tremendous attention today. Tumor classification plays an important role medical diagnosis. This study's goal was breast cancer (BC) tumors using software-based numerical techniques. To determine whether masses are benign or malignant, we used MATLAB version 2020b build ne...
introduction this study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. the medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. by analyzing this information, the best diagnostic parameters among the available parameters are selected and ...
nanotechnology is the engineering of functional systems at the molecular scale which may exert a revolutionary impact on cancer diagnosis and therapy. nanotechnology is being applied to cancer in two broad areas: i) the development of nanovectors such as nanoparticles which can be loaded with drugs or imaging agents and then targeted to tumours, and ii) high-throughput nanosensor devices for de...
Purpose: The Prostate Imaging Reporting and Data System (PI-RADS) was introduced to standardize prostate cancer diagnosis by MRI. However, the inter-reader agreement PI-RADS scoring is not always high. purpose of this study validate a deep-learning-based diagnostic algorithm PI-RADS. Methods: We applied Siemens Healthineers Artificial Intelligence (AI) prototype (work in progress) for fully aut...
ABSTRACT Breast cancer remains the most common cancer of women and one of the most common causes of cancer-related deaths worldwide. In spite of major advances in breast cancer diagnosis and treatment, the incidence of breast cancer remains high and the treatment of metastatic breast cancer remains challenging. This review presents an over...
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