Results 171 to 180 of about 112,252 (298)

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source

Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection. [PDF]

Front Physiol
Prasada Rao RH, Goswami AD.
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. [PDF]

Entropy (Basel)
Chen Y, Zhou S.
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage. [PDF]

Front Neuroinform
Zhang L, Song D, Qiu H, Ye L, Xu Z.
europepmc   +1 more source

An effective Key Frame Extraction technique based on Feature Fusion and Fuzzy-C means clustering with Artificial Hummingbird. [PDF]

Sci Rep
Kaur S, Kaur L, Lal M.
europepmc   +1 more source

Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings. [PDF]

Sensors (Basel)
Zhao X, Chen H, Li B, Yang Z, Li H.
europepmc   +1 more source

Phase Separation of Nucleic Acids: Mechanisms, Properties, and Applications

Angewandte Chemie International Edition, EarlyView.
Recent discoveries have shown that single‐stranded long‐chain nucleic acids can undergo temperature‐induced phase separation, enabling formation of micrometer‐sized condensates. This Minireview discusses the current mechanistic understanding of this phenomenon, highlights strategies for controlling the physical and chemical properties of these ...
Weixiang Chen, Johann Fritzen, Andreas Walther   +2 more
wiley   +1 more source

Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods. [PDF]

Sci Rep
Eftekhari SH, Memariani M, Memariani M, Maleki Z, Maleki Z, Aleali M, Kianoush P.   +6 more
europepmc   +1 more source