Titlebook: Advances in Visual Computing; 15th International S George Bebis,Zhaozheng Yin,George Baciu Conference proceedings 2020 Springer Nature Swit

NEG

Multiscale Detection of Cancerous Tissue in High Resolution Slide Scanspose a challenge for current Convolutional Neural Networks (CNN) which often fail when image features are very small (8 pixels). Our approach modifies the effective receptive field at different layers in a CNN so that objects with a broad range of varying scales can be detected in a single forward p

让步

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Cr the vast majority of patients. However, a TKA surgery may fail over time for several reasons, thus it requires a revision arthroplasty surgery. Identifying TKA implants is a critical consideration in preoperative planning of revision surgery. This study aims to develop, train, and validate deep co

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FILLY

Robust Prostate Cancer Classification with Siamese Neural Networks breathing. Although modern Computer Aided Diagnosis (CAD) systems, mainly based on Deep Learning (DL), together with expert radiologists, can obtain very accurate predictions, working with noisy data can induce a wrong diagnose or require a new acquisition, spending time and exposing the patient to

tackle

Simple Camera-to-2D-LiDAR Calibration Method for General Usetems have proven to be useful for vehicles and large robotic platforms, many smaller platforms and low-cost solutions still require 2D LiDAR combined with RGB cameras. Current methods of calibrating these sensors make assumptions about camera and laser placement and/or require complex calibration ro

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舔食

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Cnvolutional neural network models to precisely classify four widely-used TKA implants based on only plain knee radiographs. Using 9,052 computationally annotated knee radiographs, we achieved weighted average precision, recall, and F1-score of 0.97, 0.97, and 0.97, respectively, with Cohen Kappa of 0.96.

切碎

Parliament and the Constitutionta augmentation and balancing. We show that a very small convolutional neural network (SAT-CNN) with approximately three million parameters can outperform a deep pre-trained classifier, VGG16 - which is used for many state-of-the-art tasks - with over 138 million parameters.

NATAL

Politikwissenschaftliche Paperbacks. We use data coming from the ProstateX challenge and demonstrate the superior robustness of our model to random noise compared to a similar architecture, albeit deprived of the Siamese branch. In addition, our approach is also resistant to adversarial attacks and shows overall better AUC performance.

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Conference proceedings 2020tracking; computer graphics; virtual reality; and ST: computer vision advances in geo-spatial applications and remote sensing..Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters.