Results 21 to 30 of about 256,649 (274)
Electronic Research Archive, 2023 Colorectal cancer (CRC) is one of the most popular cancers among both men and women, with increasing incidence. The enhanced analytical load data from the pathology laboratory, integrated with described intra- and inter-variabilities through the ...
Abdullah S. AL-Malaise AL-Ghamdi +1 more
doaj +1 more source
Ontology-Driven Image Analysis for Histopathological Images [PDF]
, 2010 Ontology-based software and image processing engine must cooperate in new fields of computer vision like microscopy acquisition wherein the amount of data, concepts and processing to be handled must be properly controlled. Within our own platform, we need to extract biological objects of interest in huge size and high-content microscopy images.
Othmani, Ahlem +2 more
openaire +2 more sources
The accurate staging of ovarian cancer using 3T magnetic resonance imaging - a realistic option [PDF]
, 2008 Objectives: The aim of the study was to determine whether staging primary ovarian cancer using 3.0 Tesla (3T) magnetic resonance imaging (MRI) is comparable to surgical staging of the disease.
Booth, SJ +3 more
core +1 more source
Diagnostics, 2023 Invasive Ductal Carcinoma Breast Cancer (IDC-BC) is the most common type of cancer and its asymptomatic nature has led to an increased mortality rate globally.
Eelandula Kumaraswamy +2 more
doaj +1 more source
A chondroblastic osteosarcoma of the coronoid process mimicking a fragmented coronoid process in a dog [PDF]
, 2016 A 6-year-old Rhodesian Ridgeback was presented with a 1.5 year history of right forelimb lameness. Clinical, radiological and computed tomographic findings suggested the presence of fragmented medial coronoid process.
Cirkel, Koen +4 more
core +1 more source
Joint and individual analysis of breast cancer histologic images and genomic covariates [PDF]
, 2020 A key challenge in modern data analysis is understanding connections between complex and differing modalities of data. For example, two of the main approaches to the study of breast cancer are histopathology (analyzing visual characteristics of tumors ...
Calhoun, Benjamin C. +10 more
core +3 more sources
A Deep Learning Computer-Aided Diagnosis Approach for Breast Cancer
Bioengineering, 2022 Breast cancer is a gigantic burden on humanity, causing the loss of enormous numbers of lives and amounts of money. It is the world’s leading type of cancer among women and a leading cause of mortality and morbidity.
Ahmed M. Zaalouk +4 more
doaj +1 more source
Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms [PDF]
, 2019 Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this task.
A Krizhevsky +9 more
core +1 more source
Primary cardiac angiosarcoma. Histopathology imaging correlation [PDF]
Journal of Cardiology Cases, 2017 We report a novel observation of a cardiac hemangioma possible transformation into cardiac angiosarcoma. This report should give a new insight on the pathogenesis of the tumor, always thought to have a de-novo genesis. We emphasize in our report the value of combining imaging modalities to examine the anatomic and metabolic properties of cardiac tumors
Moustafa Elsheshtawy +5 more
openaire +2 more sources
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Frontiers in Genetics, 2019 Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and has become a major public health issue. Early diagnosis can increase the chance of successful treatment and survival. However, it is a very challenging and
Juanying Xie +3 more
doaj +1 more source