Results 121 to 130 of about 7,242 (173)

Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques. [PDF]

J Biophotonics
Baydargil HB, Bocklitz T.
europepmc   +1 more source

The Challenge of Deep Learning for the Prevention and Automatic Diagnosis of Breast Cancer: A Systematic Review. [PDF]

Diagnostics (Basel)
Pérez-Núñez JR, Rodríguez C, Vásquez-Serpa LJ, Navarro C.   +3 more
europepmc   +1 more source

The future of robotic disassembly: a systematic review of techniques and applications in the age of AI. [PDF]

Front Robot AI
Ameur S, Tabaa M, Hidila Z, Hamlich M, Karboub K, Bearee R.   +5 more
europepmc   +1 more source

TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud. [PDF]

Plant Phenomics
Yan L, Zhou G, Yan M, Wang X.
europepmc   +1 more source

Conformation-specific monoclonal antibodies reveal early Tau structural intermediates in Alzheimer's disease. [PDF]

J Biol Chem
Tsaka G, Pagès AM, De Sousa CB, Lammertyn J, Walkiewicz G, Gomes LA, Imbrechts M, Tops S, Kolla R, Muwonge K, Vandenberghe R, Vanhoorelbeke K, von Arnim CAF, Geukens N, Rousseau F, Schymkowitz J, Spasic D, Thal DR, Thomas D, Winderickx J.   +19 more
europepmc   +1 more source

Automatic geometry-based estimation of the locus coeruleus region on T₁-weighted magnetic resonance images. [PDF]

Front Neurosci
Aganj I, Mora J, Fischl B, Augustinack JC.   +3 more
europepmc   +1 more source

Improving Rebar Twist Prediction Exploiting Unified-Channel Attention-Based Image Restoration and Regression Techniques. [PDF]

Sensors (Basel)
Park JC, Kim GW.
europepmc   +1 more source

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

Sci Rep
Saranya M, Praveena R.
europepmc   +1 more source

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Fuzzy Hough transform

Pattern Recognition Letters, 1994
To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles. >
Han, J.H., Kóczy, LszlT., Poston, T.
exaly   +3 more sources