Results 21 to 30 of about 202,762 (305)
Progress of Machine Vision in the Detection of Cancer Cells in Histopathology
IEEE Access, 2022 In recent years, with the rapid development of artificial intelligence, machine vision technology has been widely used in various fields. Traditional cancer detection methods are time-consuming, labor-intensive, and highly dependent on the experience of ...
Wenbin He +10 more
doaj +1 more source
Deep Learning for Classification of Brain Tumor Histopathological Images
, 2022 Histopathological image classification has been at the forefront of medical research. We evaluated several deep and non-deep learning models for brain tumor histopathological image classification.
Ezuma, Ifeanyi Austin
core +1 more source
Diagnostics, 2022 Introduction and Background: Despite fast developments in the medical field, histological diagnosis is still regarded as the benchmark in cancer diagnosis.
Chiagoziem C. Ukwuoma +5 more
doaj +1 more source
Entropy, 2021 Automated grading systems using deep convolution neural networks (DCNNs) have proven their capability and potential to distinguish between different breast cancer grades using digitized histopathological images.
Zakaria Senousy +3 more
doaj +1 more source
Utilization of artificial intelligence-assisted histopathological detection in surveillance of oral squamous cell carcinoma staging: A narrative review [PDF]
, 2022 Background: Oral squamous cell carcinoma (OSCC) is defined as an oral malignancy with worldwide prevalence of 90%. In 2018, the number of cases observed is 354.864 with 177.384 deaths globally.
Nastiti Faradilla Ramadhani, - +5 more
core +1 more source
Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkers [PDF]
European Radiology, 2019 This study was conducted in order to investigate the role of gray-scale ultrasound (US) and optoacoustic imaging combined with gray-scale ultrasound (OA/US) to better differentiate between breast cancer molecular subtypes.All 67 malignant masses included in the Maestro trial were retrospectively reviewed to compare US and OA/US feature scores and ...
Menezes, G.L.G. +7 more
openaire +4 more sources
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
Similar image search for histopathology: SMILY [PDF]
npj Digital Medicine, 2019 AbstractThe increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically have associated metadata such as diagnosis or clinical notes, even carefully curated datasets rarely contain annotations of the location
Narayan Hegde +13 more
openaire +3 more sources
The proposed framework for histopathological images classification.
, 2022 The proposed framework for histopathological images classification.
Yan Hao (113600) +8 more
core +1 more source
Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks
Diagnostics, 2023 Breast cancer is responsible for the deaths of thousands of women each year. The diagnosis of breast cancer (BC) frequently makes the use of several imaging techniques.
Ahsan Rafiq +6 more
doaj +1 more source