Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition
Dynamic hand gesture recognition has attracted increasing interests because of its
importance for human computer interaction. In this paper, we propose a new motion feature …
importance for human computer interaction. In this paper, we propose a new motion feature …
Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and
neck cancer, and the ability to predict it accurately is essential to optimizing treatment …
neck cancer, and the ability to predict it accurately is essential to optimizing treatment …
Novel computer aided diagnostic models on multimodality medical images to differentiate well differentiated liposarcomas from lipomas approached by deep learning …
Background Deep learning methods have great potential to predict tumor characterization,
such as histological diagnosis and genetic aberration. The objective of this study was to …
such as histological diagnosis and genetic aberration. The objective of this study was to …
Mfa-net: Motion feature augmented network for dynamic hand gesture recognition from skeletal data
Dynamic hand gesture recognition has attracted increasing attention because of its
importance for human–computer interaction. In this paper, we propose a novel motion …
importance for human–computer interaction. In this paper, we propose a novel motion …
MRI‐based computer‐aided diagnostic model to predict tumor grading and clinical outcomes in patients with soft tissue sarcoma
Y Yang, Y Zhou, C Zhou, X Zhang… - Journal of Magnetic …, 2022 - Wiley Online Library
Background MRI acts as a potential resource for exploration and interpretation to identify
tumor characterization by advanced computer‐aided diagnostic (CAD) methods. Purpose To …
tumor characterization by advanced computer‐aided diagnostic (CAD) methods. Purpose To …
Computed tomography-based deep-learning prediction of induction chemotherapy treatment response in locally advanced nasopharyngeal carcinoma
Y Yang, M Wang, K Qiu, Y Wang, X Ma - Strahlentherapie und Onkologie, 2022 - Springer
Background Deep learning methods have great potential to predict treatment response. The
objective of this study was to evaluate and validate the predictive performance of the …
objective of this study was to evaluate and validate the predictive performance of the …
A hybrid approach to building face shape classifier for hairstyle recommender system
Identifying human face shape is the first and the most vital process prior to choosing the right
hairstyle to wear on according to guidelines from hairstyle experts, especially for women …
hairstyle to wear on according to guidelines from hairstyle experts, especially for women …
Computer‐aided diagnostic models to classify lymph node metastasis and lymphoma involvement in enlarged cervical lymph nodes using PET/CT
Y Yang, B Zheng, Y Li, Y Li, X Ma - Medical Physics, 2023 - Wiley Online Library
Background It is a clinical problem to identify histological component in enlarged cervical
lymph nodes, particularly in differentiation between lymph node metastasis and lymphoma …
lymph nodes, particularly in differentiation between lymph node metastasis and lymphoma …
Predicting lymph node metastasis in head and neck cancer by combining many-objective radiomics and 3-dimensioal convolutional neural network through evidential …
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and
neck cancer, and the ability to predict it accurately is essential for treatment optimization …
neck cancer, and the ability to predict it accurately is essential for treatment optimization …
Lightweight CNN and GRU network for real-time action recognition
Artificial Intelligence explores the means for computers to think like a human. In this era of
technological advancements, the unobstructed method for monitoring activities in daily life is …
technological advancements, the unobstructed method for monitoring activities in daily life is …