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
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
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
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study [PDF]
, 2019 BACKGROUND: For virtually every patient with colorectal cancer (CRC), hematoxylin-eosin (HE)-stained tissue slides are available. These images contain quantitative information, which is not routinely used to objectively extract prognostic biomarkers.
Brenner, H. +17 more
core +2 more sources
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
OpenHI2 — Open source histopathological image platform [PDF]
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019 Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine. Pathological diagnoses are sensitive to many external factors and is known to be subjective.
Puttapirat, Pargorn +9 more
openaire +2 more sources
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
Method for coregistration of optical measurements of breast tissue with histopathology : the importance of accounting for tissue deformations [PDF]
, 2019 For the validation of optical diagnostic technologies, experimental results need to be benchmarked against the gold standard. Currently, the gold standard for tissue characterization is assessment of hematoxylin and eosin (H&E)-stained sections by a ...
de Boer, Lisanne L. +6 more
core +3 more sources
Manifold Learning in MR spectroscopy using nonlinear dimensionality reduction and unsupervised clustering [PDF]
, 2014 Purpose To investigate whether nonlinear dimensionality reduction improves unsupervised classification of 1H MRS brain tumor data compared with a linear method. Methods In vivo single-voxel 1H magnetic resonance spectroscopy (55 patients) and 1H magnetic
Barrick, TR +3 more
core +1 more source
Enhanced Sharp-Gan for Histopathology Image Synthesis
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023 Histopathology image synthesis aims to address the data shortage issue in training deep learning approaches for accurate cancer detection. However, existing methods struggle to produce realistic images that have accurate nuclei boundaries and less artifacts, which limits the application in downstream tasks. To address the challenges, we propose a novel
Butte, Sujata +3 more
openaire +3 more sources