Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2024
INTRODUCTION: Histological grading of cutaneous squamous cell carcinoma (cSCC) is crucial for prognosis and treatment decisions, but manual grading is subjective and time-consuming.
Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2021
Establishing basal cell carcinoma (BCC) subtype is sometimes challenging for pathologists. Deep-learning (DL) algorithms are an emerging approach in image classification due to their performance, accompanied by a new concept - transfer learning, whic...
Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2020
Bicuspid aortic valve (BAV) is the most common heart valve malformation, and it may be associated with the development of long-term complications, such as aortic stenosis (AS) secondary to valvular calcification and aortic insufficiency (AI), with or...
Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2020
INTRODUCTION: While the visual inspection of histopathology images by expert pathologists remains the golden standard method for grading of prostate cancer the quest for developing automated algorithms for the job is set and deep-learning techniques ...
Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2020
Two deep-learning algorithms designed to classify images according to the Gleason grading system that used transfer learning from two well-known general-purpose image classification networks (AlexNet and GoogleNet) were trained on Hematoxylin-Eosin h...
Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Jan 1, 2016
Gonarthrosis is a degenerative disease that affects mainly older people, but whose incidence has increased significantly in the last decade in population under the age of 65. The main objective of this study was developing a predictive model of synov...