Results 141 to 150 of about 21,150,821 (215)

Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size. [PDF]

J Imaging
Aliniya P, Nicolescu M, Nicolescu M, Bebis G.   +3 more
europepmc   +1 more source

Bayesian Mendelian randomization with an interval causal null hypothesis: ternary decision rules and loss function calibration. [PDF]

BMC Med Res Methodol
Zou L, Fazia T, Guo H, Berzuini C.
europepmc   +1 more source

Loss Functions

, 2013
openaire   +2 more sources

A Novel Mis-Seg-Focus Loss Function Based on a Two-Stage nnU-Net Framework for Accurate Brain Tissue Segmentation. [PDF]

Bioengineering (Basel)
He K, Peng B, Yu W, Liu Y, Liu S, Cheng J, Dai Y.   +6 more
europepmc   +1 more source

Elevating Detection Performance in Optical Remote Sensing Image Object Detection: A Dual Strategy with Spatially Adaptive Angle-Aware Networks and Edge-Aware Skewed Bounding Box Loss Function. [PDF]

Sensors (Basel)
Yan Z, Fan J, Li Z, Xie Y.
europepmc   +1 more source

Multi-criteria solar power plant siting problem solution using a GIS-Taguchi loss function based interval type-2 fuzzy approach: The case of Kars Province/Turkey. [PDF]

Heliyon
Sahin G, Akkus I, Koc A, van Sark W.
europepmc   +1 more source

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Cognitive vision inspired object segmentation metric and loss function

Scientia Sinica Informationis, 2021
Object segmentation (OS) technology is a research hotspot in computer vision, and it has a wide range of applications in many fields. Cognitive vision studies have shown that human vision is highly sensitive to both global information and local details ...
登平 范, 葛鹏 季, 雪彬 秦, 明明 程   +3 more
semanticscholar   +1 more source

Functional visual loss

Ophthalmology Clinics of North America, 2004
Functional visual loss is a common problem encountered in practice. It must be recognized that this problem occurs in patients who have organic illness. Manual perimetry is the most effective method for evaluating functional visual loss, and the presence of a central scotoma in a functional visual field strongly suggests that organic pathology is ...
Kenneth S., Shindler, Steven L., Galetta, Nicholas J., Volpe   +2 more
openaire   +4 more sources

An Improved Bounding Box Regression Loss Function Based on CIOU Loss for Multi-scale Object Detection

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML), 2021
The regression loss function is a key factor in the training and optimization process of object detection. The current mainstream regression loss functions are Ln norm loss, IOU loss and CIOU loss.
Shuangjiang Du, Baofu Zhang, Pin Zhang, Peng Xiang   +3 more
semanticscholar   +1 more source