Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
DOI: 10.1007/978-3-030-32692-0_3 Corpus ID: 174801135; Globally-Aware Multiple Instance Classifier for Breast Cancer Screening @article{Shen2019GloballyAwareMI, title={Globally-Aware Multiple Instance Classifier for Breast Cancer Screening}, author={Yiqiu Shen and Nan Wu and Jason Phang and Jungkyu Park and S. Gene Kim and Linda Moy and Kyunghyun …
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening Mach Learn Med Imaging. 2019 Oct:11861:18-26. doi: 10.1007/978-3-030-32692-0_3. ... model outperforms the ResNet-based baseline and achieves radiologist-level performance in the interpretation of screening mammography. Although our model is trained only with image-level ...
Plasser South Africa
The ballast cleaner can be fitted with a wide cutterbar for screening switches and crossings or a narrow cutterbar for screening ballast in tunnels, bridges and other restricted areas. The RM74 machines have been working in South Africa …
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Jeffrey Radar - CC 2000 - Chip Classifier by TerraSource Global. Chip thickness classification is an important process in reducing cost in paper mills. The CC 2000 allows mills to classify chips on a user defined thickness. All controls and functions...
Machine learning classifiers for screening nonalcoholic fatty …
Machine learning classifiers for screening nonalcoholic fatty liver disease in general adults ... random forest (RF), extreme gradient boosting (XGBoost) and support vector machine (SVM). The classifier with SVM was showed the best performance with the highest accuracy (0.801), positive predictive value (PPV) (0.795), F1 score (0.795), Kappa ...
TBscreen: A passive cough classifier for tuberculosis screening …
Recent respiratory disease screening studies suggest promising performance of cough classifiers, but potential biases in model training and dataset quality preclude robust conclusions. To examine tuberculosis (TB) cough diagnostic features, we enrolled subjects with pulmonary TB ( N = 149) and …
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Ballast degradation can lead to adverse effects such as inadequate drainage, track settlement and reduced lateral stability, which could compromise track safety, daily functionality, and long …
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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
View a PDF of the paper titled Globally-Aware Multiple Instance Classifier for Breast Cancer Screening, by Yiqiu Shen and 7 other authors. View PDF Abstract: Deep learning models designed for visual classification tasks on natural images have become prevalent in medical image analysis. However, medical images differ from typical natural images ...
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
1. Introduction. As the second leading cause of cancer death among women in the US, breast cancer has been studied for decades. While studies have shown screening mammography has significantly reduced breast cancer mortality, it is an imperfect tool [].To address its limitations, convolutional neural networks (CNN) designed for computer vision tasks on natural images …
Mining Classifiers, Sifters, Pans | High Plains …
Classifiers for gold prospecting and gem hunting come in several shapes and sizes to help classify paydirt into a size that is easier to process. Our most popular classifiers are 14" across and fit on top of a five-gallon bucket. This …
Plasser & Theurer: Machine
The global standard in ballast cleaning – for use on plain-line tracks, can be expanded for turnouts as well; Also suitable for lines with low axle loads (C2) Excavates material efficiently using a powerful excavating chain guided …
Effect of Decision Boundary for Logistic Regression Classifiers …
Effect of Decision Boundary for Logistic Regression Classifiers on Sleep Apnea Screening Accuracy with Wearable SpO2 Data Abstract: Sleep apnea is a common sleep disorder characterized by short and frequent stop of breath during sleep. Many sleep apnea patients remain undiagnosed due to a lack of easily accessible screening method.
CHAPTER 3 BALLAST CLEANING AND HANDLING …
301 General - Ballast cleaning and handling machines are used for handling of ballast during various maintenance and renewal operations. These machines are broadly categorized as:- (1) Ballast Cleaning Machines (BCM) – for screening of ballast. (2) Shoulder Ballast Cleaning Machines (SBCM) – for screening of shoulder ballast.
An interpretable classifier for high-resolution breast cancer screening …
It is argued that it is undesirable for mammogram image classifiers to be invariant to low-pass filtering due to its tendency to remove information that is human-incomprehensible, and this work measures the sensitivity of a radiologist-level screening mammograms image classifier to four commonly studied input perturbations that natural ...
On the Within-Group Fairness of Screening Classifiers
Screening classifiers are increasingly used to identify qualified candidates in a variety of selection processes. In this context, it has been recently shown that, if a classifier is calibrated, one can identify the smallest set of candidates which contains, in expectation, a desired number of qualified candidates using a threshold decision rule. This lends support to …
Audio-based AI classifiers show no evidence of improved …
P3: Enables high-utility COVID-19 screening. For an audio-based classifier to perform strongly in practical settings, it should possess high sensitivity and specificity, corresponding to an ...
Ballast cleaning machines
The screening unit: Triple deck vibration screening unit with three screening levels: 1 st level: separation of over-sized stones.; 2 nd level: recovery of medium-sized stones.; 3 nd level: recovery of small stones, separation of fine …
A deep learning predictive classifier for autism screening …
In this chapter, we apply novel feature engineering and feature encoding techniques, along with a deep learning classifier for ASD screening. Algorithms were created via a robust deep learning classifier and deep embedding representation for categorical variables to diagnose ASD on the basis of behavioral features and individual characteristics.
An interpretable classifier for high-resolution breast cancer screening …
Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work well for natural images might not be applicable to medical image analysis. In this work, we extend the globally-aware multiple instance classifier, a framework we proposed to address these …
Meta-repository of screening mammography classifiers
Artificial intelligence (AI) is showing promise in improving clinical diagnosis. In breast cancer screening, recent studies show that AI has the potential to improve early cancer diagnosis and reduce unnecessary workup. As the number of proposed models and their complexity grows, it is becoming increasingly difficult to re-implement them. To enable …
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Recent progress demonstrates that CNN classifiers, trained with image-level labels, are able to perform semantic segmentation at the pixel level [3, 4, 15]. This is achieved in two steps. ... Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. In: Suk, HI., Liu, M., Yan, P., Lian, C. (eds) Machine Learning in Medical ...
GitHub
This is an implementation of the model used for breast cancer classification as described in our paper Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.The implementation allows users to get breast cancer predictions by applying one of our pretrained models: a model which takes images as input (image-only) and a model …
Random forest classifier improving phenylketonuria screening
Phenylketonuria (PKU) is a genetic disorder with amino acid metabolic defect, which does great harms to the development of newborns and children. Early diagnosis and treatment can effectively prevent the disease progression. Here we developed a PKU screening model using random forest classifier (RFC …
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TURBO-SCREEN AIR CLASSIFIER. SWECO's Turbo-Screen Air Classifier provides continuous, precise screening of dry materials, especially in the finer particle sizes. Uses screen sizes from 200-400 mesh for efficient separation of particles ranging from 850-70 microns.
BALLAST OPERATION AND MAINTENANCE PRACTICE
To ensure maintenance of the onboard ballast tank system the following precautions should be taken: Conducting regular inspections of the ballast tanks and associated pipework to identify …
COMMISSIONING TESTING OF BALLAST WATER …
im to ensure consistency and reliability in the testing1. This approach was further strengthened with the revision of the IMO Guidelines for approval of ballast water management systems …
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