Results 31 to 40 of about 12,701 (190)
Biomedicines, 2021 Differentiated thyroid cancer (DTC) from follicular epithelial cells is the most common form of thyroid cancer. Beyond the common papillary thyroid carcinoma (PTC), there are a number of rare but difficult-to-diagnose pathological classifications, such ...
Wai-Kin Chan +7 more
doaj +1 more source
Food Ingredients Recognition through Multi-label Learning
, 2017 Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi-label learning problem.
G Tsoumakas +4 more
core +1 more source
Laboratory Animal Research, 2022 Background Now that it is possible to efficiently classify and save tissue images of laboratory animals using whole-slide imaging, many diagnostic models are being developed through transfer learning with Convolutional Neural Network (CNN). In this study,
Jong Su Byun +3 more
doaj +1 more source
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
, 2017 The exquisite sensitivity of the advanced LIGO detectors has enabled the detection of multiple gravitational wave signals. The sophisticated design of these detectors mitigates the effect of most types of noise.
George, Daniel +2 more
core +2 more sources
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Inception-V3 Architecture in Dermatoglyphics-Based Temperament Classification
Philippine Social Science Journal, 2020 Personality classification is one of the areas of behavioral psychology that focuses on categorizing individuals. Different factors constitute the main currents of human personality.
Mary Gift D. Dionson +1 more
doaj +1 more source
Feature Detection in Medical Images Using Deep Learning [PDF]
, 2018 This project explores the use of deep learning to predict age based on pediatric hand X-Rays. Data from the Radiological Society of North America’s pediatric bone age challenge were used to train and evaluate a convolutional neural network.
Pasquarelli, Anthony
core +1 more source
Res2Net: A New Multi-scale Backbone Architecture
, 2019 Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to consistent ...
Cheng, Ming-Ming +5 more
core +1 more source
Clinical Anatomy, EarlyView.ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin +8 more
wiley +1 more source
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
, 2018 Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of people around the world and its flavor by classifying two main food attributes,
Banu, S.F. +7 more
core +1 more source