Learning features while learning to classify: a cognitive model for autonomous systems
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Organization Theory"
DOI: 10.1007/s10588-018-9279-3
Abstract: We describe a computational cognitive model intended to be a generalizable classifier that can provide context-based feedback to semantic perception in robotic applications. Many classifiers (including cognitive models of categorization) perform well at the task… read more here.
Keywords: learning features; cognitive model; features learning; learning classify ... See more keywords
Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3209336
Abstract: Public concerns about deepfake face forgery are continually rising in recent years. Most deepfake detection approaches attempt to learn discriminative features between real and fake faces through end-to-end trained deep neural networks. However, the majorities… read more here.
Keywords: consistency; diversity; deepfake; deepfake detection ... See more keywords
Deep learning and radiomics for gastric cancer lymph node metastasis: Automated segmentation and multi-machine learning study from two centers.
Sign Up to like & getrecommendations! Published in 2025 at "Oncology"
DOI: 10.1159/000544179
Abstract: Abstract Introduction: The objective of this study was to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model. This approach is intended to address the limitations of manual… read more here.
Keywords: deep learning; segmentation; model; lymph node ... See more keywords
Towards electronic learning features in education 4.0 environment: literature study
Sign Up to like & getrecommendations! Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v19.i1.pp442-450
Abstract: This paper presents electronic learning features in Education 4.0 environment. Malaysian government encourages Higher Education Institution (HEIs) to embed technologies in order to prepare future education (Education 4.0). Besides, developing skills among students is important… read more here.
Keywords: learning features; features education; learning; electronic learning ... See more keywords
Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer
Sign Up to like & getrecommendations! Published in 2025 at "BMC Cancer"
DOI: 10.1186/s12885-025-13688-x
Abstract: Bladder cancer (BLCA) exists a profound molecular diversity, with basal and luminal subtypes having different prognostic and therapeutic outcomes. Traditional methods for molecular subtyping are often time-consuming and resource-intensive. This study aims to develop machine… read more here.
Keywords: deep learning; basal luminal; pathology; learning features ... See more keywords
Predicting breast cancer response to neoadjuvant therapy by integrating radiomic and deep-learning features from early-and-peak phases of DCE-MRI
Sign Up to like & getrecommendations! Published in 2025 at "BMC Cancer"
DOI: 10.1186/s12885-025-15095-8
Abstract: Non-invasive prediction of pathological complete response (pCR) in breast cancer patients undergoing neoadjuvant therapy (NAT) is crucial for adjusting surgical strategies and optimizing treatment plans. This study aims to develop a predictive model that integrates… read more here.
Keywords: deep learning; dce mri; model; learning features ... See more keywords
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction.
Sign Up to like & getrecommendations! Published in 2024 at "JCO clinical cancer informatics"
DOI: 10.1200/cci.23.00180
Abstract: PURPOSE Emerging evidence suggests that the use of artificial intelligence can assist in the timely detection and optimization of therapeutic approach in patients with prostate cancer. The conventional perspective on radiomics encompassing segmentation and the… read more here.
Keywords: deep learning; cancer; radiomic features; prostate cancer ... See more keywords