Comparing Sample-wise Learnability Across Deep Neural Network Models

Estimating the relative importance of each sample in a training set has important practical and theoretical value, such as in importance sampling or curriculum learning. This kind of focus on individual samples invokes the concept of sample-wise learnability: How easy is it to correctly learn each sample (cf. PAC learnability)? In this paper, we approach the sample-wise learnability problem within a deep learning context. We propose a measure of the learnability of a sample with a given deep neural network (DNN) model. The basic idea is to train the given model on the training set, and for each sample, aggregate the hits and misses over the entire training epochs. Our experiments show that the sample-wise learnability measure collected this way is highly linearly correlated across different DNN models (ResNet-20, VGG-16, and MobileNet), suggesting that such a measure can provide deep general insights on the data's properties. We expect our method to help develop better curricula for training, and help us better understand the data itself.Comment: Accepted to AAAI 2019 Student Abstrac

Plasmon-enhanced Infrared Spectroscopy Based on Metasurface Absorber with Vertical Nanogap

In this study, we introduce a sensing platform based on a plasmonic metasurface absorber (MA) with a vertical nanogap for the ultra- sensitive detection of monolayer molecules. The vertical nanogap of the MA, where the extremely high near-field is uniformly dis- tributed and exposed to the external environment, is formed by an under-cut structure between a metallic cross nanoantenna and themirror layer. The accessible sensing area and the enhanced near-field of the MA further enhance the sensitivity of surface-enhancedinfrared absorption for the target molecule of 1-octadecanethiol. To provide strong coupling between the molecular vibrations and plas- monic resonance, the design parameters of the MA with a vertical nanogap are numerically designed

A Framework for Analysis on the Process of Information System Evaluation and Investment Decision

Information System (IS) investment evaluation has long been issue in the IS research. Traditional positivistic research dealt with cost-benefit rationale regarding why and how evaluate. Afterwards social and political view added issue to this stream by embedding the organizational context that makes evaluation more fraught with difficulties. The purpose of this paper is to provide a theoretical foundation and justification of the various organizational aspects of IS evaluation and decision process. By reviewing recent research that adopts institutional theory perspective on this issue and we develop two-staged evaluation process model constructed by the interaction among stakeholders and their roles. Participants of the process are two groups: IS evaluator group who evaluate the benefit of investment, and decision makers who examine suggestion of evaluator group and finally determine to invest or not. We argue that, during this interaction process, the organization’s institutional context influences the extent of the formality of evaluation criteria and the procedural rationality. From this dynamic process perspective, we propose a multidimensional analysis framework that constitutes four types of evaluation orientation: Mixed, Positive, Negative, and Control Evaluation Orientation. With this framework we discuss how stakeholders behave and affect investment decision under each evaluation orientation. Likewise, we also discuss how financially justified IS investments can be sometimes rejected or otherwise accepted in the politically situated evaluation process. We believe that this framework expands our understanding of IS evaluation and decision process and therefore contribute to IS research in this field. Also to practitioners, this study provides several implications regarding how to maintain the formal/rational evaluation procedure and how to acquire organizational consensus under socially complex organizational environment

Against Method: The Portability of Method in Human-Centered Design

Design researchers have recently been active in developing new design methods aimed at greatly improving their understanding of people’s subjective felt-experience, and their creativity and values. Although these innovative methods were developed as alternatives to more traditional means, human-centered designers (especially in HCI) have shown a tendency to use a traditional, scientific rationalization when applying them – essentially, “method as recipe.” The study analyzes these misinterpretations of innovative methods and seeks a more constructive way of understanding and describing how they actually work for understanding culture and social action. With the provocative title, Against Method, the dissertation seeks to promote reflection and sensitivity among practitioners, researchers, students and educators in human-centered design

Predictive factors for breast cancer in patients diagnosed atypical ductal hyperplasia at core needle biopsy

<p>Abstract</p> <p>Background</p> <p>Percutaneous core needle biopsy (CNB) is considered to be the standard technique for histological diagnosis of breast lesions. But, it is less reliable for diagnosing atypical ductal hyperplasia (ADH). The purpose of the present study was to predict, based on clinical and radiological findings, which cases of ADH diagnosed by CNB would be more likely to be associated with a more advanced lesion on subsequent surgical excision.</p> <p>Methods</p> <p>Between February 2002 and December 2007, consecutive ultrasound-guided CNBs were performed on suspicious breast lesions at Seoul St. Mary's Hospital. A total of 69 CNBs led to a diagnosis of ADH, and 45 patients underwent follow-up surgical excision. We reviewed the medical records and analyses retrospectively.</p> <p>Results</p> <p>Sixty-nine patients were diagnosed with ADH at CNB. Of these patients, 45 underwent surgical excision and 10 (22.2%) were subsequently diagnosed with a malignancy (ductal carcinoma <it>in situ</it>, n = 8; invasive cancer, n = 2). Univariate analysis revealed age (≥ 50-years) at the time of core needle biopsy (p = 0.006), size (> 10 mm) on imaging (p = 0.033), and combined mass with microcalcification on sonography (p = 0.029) to be associated with underestimation. When those three factors were included in multivariate analysis, only age (p = 0.035, HR 6.201, 95% CI 1.135-33.891) was an independent predictor of malignancy.</p> <p>Conclusion</p> <p>Age (≥ 50) at the time of biopsy is an independent predictive factor for breast cancer at surgical excision in patients with diagnosed ADH at CNB. For patients diagnosed with ADH at CNB, only complete surgical excision is the suitable treatment option, because we could not find any combination of factors that can safely predict the absence of DCIS or invasive cancer in a case of ADH.</p

Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models

Wireless capsule endoscopy (WCE) is a non-invasive method for visualizing the gastrointestinal (GI) tract, crucial for diagnosing GI tract diseases. However, interpreting WCE results can be time-consuming and tiring. Existing studies have employed deep neural networks (DNNs) for automatic GI tract lesion detection, but acquiring sufficient training examples, particularly due to privacy concerns, remains a challenge. Public WCE databases lack diversity and quantity. To address this, we propose a novel approach leveraging generative models, specifically the diffusion model (DM), for generating diverse WCE images. Our model incorporates semantic map resulted from visualization scale (VS) engine, enhancing the controllability and diversity of generated images. We evaluate our approach using visual inspection and visual Turing tests, demonstrating its effectiveness in generating realistic and diverse WCE images

Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2008

PURPOSE: This paper overviews the nationwide cancer statistics including incidence, mortality, survival and prevalence, and their trends in Korea based on the year 2008 cancer incidence data. MATERIALS AND METHODS: Incidence data from 1993 to 2008 were obtained from the Korea National Cancer Incidence Database, and the vital status was followed through December 31, 2009. Mortality data from 1983 to 2008 were obtained from the Korea National Statistics Office. Crude rates and age-standardized rates for incidence, mortality, prevalence and relative survival were calculated. RESULTS: There were 178,816 cancer cases and 68,912 cancer deaths observed during year 2008 and 724,663 10-year cancer prevalent cases as of January 1, 2009 in Korea. The incidence rate for all cancer combined showed an annual increase of 3.1% from 1999 to 2008. CONCLUSION: With significantly increasing cancer incidence, Korea faces a large cancer burden and efficient cancer control programs are essential.ope